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IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Special Issue: 05 | May-2014 | NCEITCS-2014, Available @ http://www.ijret.org 42
DESIGN OF GAUSSIAN SPATIAL FILTER TO DETERMINE THE
AMOUNT OF REFRACTION ERROR IN HUMAN EYE
T.Saikanth1
, C.Gireesh2
1
Department of Computer Science and Engineering, Vasavi College of Engineering, Hyderabad, Andhra Pradesh,
500031, India
2
Department of Computer Science and Engineering, Vasavi College of Engineering, Hyderabad, Andhra Pradesh,
500031, India
Abstract
The subjective method of eye testing (Myopia/Hyperopia) involves the communication between the optometrist and the Patient.
Communication about the vision/clarity of an eye chart, which the Patient experiences, to the Optometrist and the communication
which the Optometrist does to Patient would decide the final prescription. Though the Optometrist is expert in communication, if the
Patient gives incorrect responses, it leads to inaccurate prescription.
To overcome the above problem, the idea is to develop a novel eye testing method called “Patient Subjective Eye Testing (PSET)”, in
which a Myopia/Hyperopia Patient interacts with a software application installed on a tablet. A standard eye chart is projected on to
a screen. A similar eye chart is also displayed on the tablet. Now the Patient blurs the eye chart that is displayed on the tablet device
by applying power in the units of 0.0625 diopters until he/she experiences no difference in the blurness of the optotypes in the
projected chart and the displayed chart. The power is recorded and written in to prescription.
For the realization of the above method, a Gaussian spatial filter is designed, which blurs the optotypes of the displayed eye chart
similar to the blurness experienced in human eye. To design the filter, the amount of Gaussian blur per unit refraction error in human
eye is determined by designing a human eye model using ZEMAX tool. For every unit of 0.0625 diopters ( in the range -2 diopters to
+2 diopters) change in refraction power of the eye the amount of deviation in Gaussian energy distribution, on the retina, is
determined. With these deviation values Gaussian masks are generated which are used by Gaussian filter to blur the eye chart images
that are displayed on a tablet device.
Keywords— Gaussian mask, Blur, Zemax, Myopia, Hyperopia.
-----------------------------------------------------------------------***----------------------------------------------------------------------
1. INTRODUCTION
1.1Refraction Problems in Eye
Blur is the subjective experience or perception of a defocus
aberration within the eye. Blur may appear differently
depending on the amount and type of refractive error. The
following are some examples of blurred images that may
result from refractive errors of eye. Myopia and Hyperopia
causes the image to be appear blurred.
1.2 Myopia
Myopia commonly known as being nearsighted (American
English) and shortsighted (British English).A condition of the
eye where the light that comes in does not directly focus on
the retina but in front of it As shown in Figure 1.2.1. This
causes the image that one sees when looking at a distant object
to be out of focus but in focus when looking at a close object.
Eye care professionals most commonly correct myopia
through the use of corrective lenses, such as glasses or contact
lenses. The corrective lenses have a negative optical power
(i.e. are concave) which compensates for the excessive
positive diopters of the myopic eye [3].
Figure 1.2.1 Myopia
1.3 Hyperopia
Hyperopia, also known as farsightedness, long-sightedness or
hypermetropia, is a defect of vision caused by an imperfection
in the eye, causing near objects appear blurred. The light that
comes in does not directly focus on the retina but behind of it
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Special Issue: 05 | May-2014 | NCEITCS-2014, Available @ http://www.ijret.org 43
as shown in Figure 1.3.1. The corrective lenses have a positive
optical power (i.e. are concvex) which compensates for the
excessive negative diopters of the hyperopic eye.
Fig 1.3.1 Hyperopia
2. OBJECTIVE EYE TESTING
The current objective systems for finding the refractive error
in human eye are [8]
 Auto Refractor
 Retinoscopy
2.1 Auto Refractor
Auto refractor is a computer-controlled machine used during
an Eye examination to provide an objective measurement of a
person's Refractive error and prescription for glasses or
contact lens. Automated refraction is particularly useful when
dealing with non-communicative people such as young
children or those with disabilities. The automated refraction
technique is quick, simple and painless. After application of a
cycloplegic agent to keep the ciliary muscle in relaxed
position and avoid the erroneous diagnosis of a pseudomyopia,
the patient takes a seat and places their chin on a rest. One eye
at a time, they look into the machine at a picture inside. The
picture moves in and out of focus as the machine takes
readings to determine when the image is on the retina. Several
readings are taken which the machine averages to form a
prescription. No feedback is required from the patient during
this process. Within seconds an approximate measurement of a
person's prescription can be made by the machine and printed
out or shared electronically with an Automated Refraction
System.
Fig 2.1.1 AutoRefractor
2.2 Retinoscopy
Retinoscopy is a technique to obtain an objective
measurement of the refractive error of a patient's eyes. The
examiner uses a retinoscopy as shown in the below Figure
2.6.2 to shine light into the patient's eye and observes the
reflection (reflex) off the patient's retina. While moving the
streak or spot of light across the pupil the examiner observes
the relative movement of the reflex then uses a phoropter or
manually places lenses over the eye (using a trial frame and
trial lenses) to "neutralize" the reflex.
Fig 2.2.1 Retinoscopy
Retinoscopy is a technique to obtain an objective
measurement of the refractive error of a patient's eyes.
Retinoscopy is particularly useful in prescribing corrective
lenses for patients who are unable to undergo a subjective
refraction that requires a judgment and response from the
patient.
SUBJECTIVE EYE TESTING
3.1 Phoropter
A phoropter is an instrument commonly used by eye care
professionals during an eye examination, containing different
lenses used for refraction of the eye during sight testing, to
measure an individual's refractive error and determine his or
her eyeglass prescription. Phoropter is shown in the below
Figure 2.5.1
Fig 3.1.1 Phoropter
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Special Issue: 05 | May-2014 | NCEITCS-2014, Available @ http://www.ijret.org 44
Typically, the patient sits behind the phoropter, and looks
through it at an eye chart placed at optical infinity (20 feet or 6
meters), then at near (16 inches or 40 centimeters) for
individuals needing reading glasses. The eye care professional
then changes lenses and other settings, while asking the
patient for subjective feedback on which settings gave the best
vision.
The lenses within a phoropter refract light in order to focus
images on the patient's retina. The optical power of these
lenses is measured in 0.25 diopter increments. By changing
these lenses, the examiner is able to determine the spherical
power, cylindrical power, and cylindrical axis necessary to
correct a person's refractive error. The presence of cylindrical
power indicates the presence of astigmatism which has an axis
measured from 0 to 180 degrees away from being aligned
horizontally.
Phoropters are made with either plus or minus cylinders.
Traditionally, ophthalmolgists and orthoptists use plus
cylinder phoropters and optometrists use minus cylinder
phoropters. The phoropters also include prismatic lenses
which are used to analyze binocular vision and treat orthoptic
problems.
4. THE PROPOSED PSET METHOD
4.1 PSET System Hardware and Software
Requirements
The “Patient Subjective Eye Test (PSET)” system requires
1. A 7’’
inches or 10’’
inches Tablet having 1280*800
display resolution and running Android 4.0 or above.
2. A Projector to project standard eye charts on to a
screen.
3. An “I-Tester” and OpenCV Manager Android
applications installed on the Tablet.
4.2 PSET Procedure for Myopia
Test one eye at a time. Start with the right eye, covering the
left one without pressing on it. Then, examine the left eye by
doing the opposite.
1. A standard eye chart is projected on to a screen which
is in front of the customer at 3 meters distance.
2. The tablet is kept in front of the customer at 1 meter
distance. The Tablet is operated through a Bluetooth
mouse.
3. The I-Tester application is invoked. The application
start screen contains image icons of different eye
charts.
4. The Optometrist instructs the customer to click on an
appropriate eye chart.
5. The selected eye chart is displayed along with positive
, negative power buttons and a slide bar.
6. Now the Optometrist instructs the customer to blur the
optotypes in the eye chart that is displayed on the tablet
device by applying positive power in the units of
0.0625 diopters until the customer experiences no
difference in the vision /clarity of the optotypes in the
projected chart and the displayed chart.
7. The customer stops applying power at the point when
he/she does not find difference in the vision /clarity of
the optotypes in the projected chart and the displayed
chart.
8. The Optometrist records the power value and the
negative of it is written in to the prescription.
Hence the spherical power is determined for Myopia.
4.3 PSET Procedure for Hyperopia
Test one eye at a time. Start with the right eye, covering the
left one without pressing on it. Then, examine the left eye by
doing the opposite.
1. A standard eye chart is kept in front of the customer at
16 inches distance.
2. The tablet is kept in front of the customer at 1 meter
distance. The Tablet is operated through a Bluetooth
mouse.
3. The I-Tester application is invoked. The application
start screen contains image icons of different eye
charts.
4. The Optometrist instructs the customer to click on an
appropriate eye chart.
5. The selected eye chart is displayed along with two
push down buttons to apply positive or negative power.
6. Now the Optometrist instructs the customer to blur the
optotypes in eye chart that is displayed on the tablet
device by applying negative power in the units of
0.0625 diopters until the customer experiences no
difference in the vision /clarity of the optotypes in the
original chart and the displayed chart.
7. The customer stops applying power at the point when
he/she does not find difference in the vision /clarity of
the optotypes in the projected chart and the displayed
chart.
8. The Optometrist records the power value and the +ve
of it is written in to the prescription.
Hence the spherical power is determined for Hyperopia.
5. IMPLEMENTATION AND RESULTS
For the realization of the PSET method, a Gaussian spatial
filter is designed, which blurs the optotypes of the displayed
eye chart similar to the blurness experienced in human eye. To
design the filter, the amount of Gaussian blur per unit
refraction error in human eye is determined by designing a
human eye model using ZEMAX tool. For every unit of
0.0625 diopters ( in the range -2 diopters to +2 diopters)
change in refraction power of the eye the amount of deviation
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Special Issue: 05 | May-2014 | NCEITCS-2014, Available @ http://www.ijret.org 45
in Gaussian energy distribution, on the retina, is determined.
With these deviation values Gaussian masks are generated
which are used by Gaussian filter to blur the eye chart images
that are displayed on a tablet device.
Fig 5.1 Eye model without any power consists of Corenea,
Lens, Globe, Retina.
Fig 5.2: 3D Layout of eye for +0.25diopers positive power.
The Figure 5.2 Describes the eye model with +0.25 diopters
positive lens power consists of Corenea, Lens, Globe, Retina.
Fig 5.3: 3D Layout of eye for -0.25 diopters Negative power
The Figure 5.3 Describes the eye model with Negative lens
power consists of Cornea, Lens, Globe, Retina.
The amount of deviation in Gaussian energy distribution, on
the retina, for every unit of 0.0625 diopters ( in the range -2
diopters to +2 diopters) change in refraction power of the eye
is recorded.
Diopter Sigma
-2 14.05578759
-1.9375 13.64856802
-1.875 13.14289976
-1.8125 12.72285203
-1.75 12.24850835
-1.6875 11.81533413
-1.625 11.37589499
-1.5625 10.92959427
-1.5 10.47702864
-1.4375 10.01760143
-1.375 9.551312649
-1.3125 9.130966587
-1.25 8.704952267
-1.1875 8.218973747
-1.125 7.781026253
-1.0625 7.337112172
-1 6.887231504
-0.9375 6.431384248
-0.875 5.969570406
-0.8125 5.560859189
-0.75 5.088305489
-0.6875 4.670346062
-0.625 4.187947494
-0.5625 3.762231504
-0.5 3.333830549
-0.4375 2.904534606
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Special Issue: 05 | May-2014 | NCEITCS-2014, Available @ http://www.ijret.org 46
-0.375 2.476431981
-0.3125 2.054295943
-0.25 1.64826969
-0.1875 1.32875895
-0.125 1.0325179
-0.0625 1.01625895
0 1
0.625 1.290274463
0.125 1.626491647
0.1875 2.00477327
0.25 2.408412888
0.3125 2.829355609
0.375, 3.263126492
0.4375 3.707338902
0.5 4.160501193
0.5625 4.622016706
0.625 5.012529833
0.6875 5.488066826
0.75 5.970763723
0.8125 6.378878282
0.875 6.874701671
0.9375 7.293556086
1 7.802505967
1.0625 8.145883055
1.125 8.66676611
1.1875 9.01849642
1.25 9.551610979
1.3125 10.00178998
1.375 10.4573389
1.4375 10.91825776
1.5 11.38424821
1.5625 11.85590692
1.625 12.33323389
1.6875 12.71927208
1.75 13.20674224
1.8125 13.700179
1.875 14.09934368
1.9375 14.50208831
2 15.01103819
A plot is drawn between amount of deviation in Gaussian
energy distribution, on the retina, for every unit of 0.0625
diopters ( in the range -2 diopters to +2 diopters) change in
refraction power of the eye.
The plot in figure 5.4 illustrates that as the negative power of
eye increases the amount of deviation in Gaussian energy
distribution, on the retina, is decreasing. As the positive power
of eye increases the amount of deviation in Gaussian energy
distribution, on the retina, is increasing.
Fig 5.4 Plot Lens power Vs Sigma Values
Gaussian mask (5X5) for different sigma values:
Gaussian masks of size 5*5 are generated for all the negative
and positive powers by substituting respective sigma value in
the following Matlab code. These masks are applied on the
Snellen chart to realize the blurness experienced in human
eye.
m=5; n=5;
Sigma=0.022;
[h1,h2]=meshgrid(-(m-1)/2: (m-1)/2,-(n-1)/2: (n-1)/2);
hg=exp(-(h1.^2+h2.^2)/(2*sigma^2));
h=hg./sum(hg(: ))
Fig 5.6 Original Image of Snellenchart
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Special Issue: 05 | May-2014 | NCEITCS-2014, Available @ http://www.ijret.org 47
Fig 5.7 Image blur with 0.25diopters
6. CONCLUSIONS
We conclude that our proposed eye testing method improves
the optometrist work efficiency and patient’s satisfaction. The
communication between optometrist and patient is minimized
and accuracy of the prescription is maximized. The cost of eye
test can also be reduced.
Using subjective process of estimating blur per unit lens
power is more accurate than current objective process. With
the subjective process the patient interaction is more, so that
less chances of dissatisfaction among patient with doctors
prescription.
Productivity of the optometrist can be increased. Training to
the new optometrists can make easy.
REFERENCES
[1]. Guillaume Franc¸ois, Pascal Gautron, Gaspard Breton,
and Kadi Bouatouch “Image-Based Modeling of the Human
Eye”, IEEE Transactions on Visualization and Computer
graphics, VOL. 15, NO. 5, SEPTEMBER/OCTOBER 2009.
[2]. http://www.allaboutvision.com/resources/anatomy.htm
[3]. http://en.wikipedia.org/wiki/Myopia
[4]. http://en.wikipedia.org/wiki/Hypermetropia
[5]. http://en.wikipedia.org/wiki/Astigmatism_(eye)
[6]. http://en.wikipedia.org/wiki/Eyeglass_prescription
[7]. http://www.ftc.gov/opa/2004/10/contactlens.shtm
[8].http://vision.about.com/od/eyeexamination1/a/Eye_Refract
ion.htm
[9]. Reinhard Jenny, “Fundamentals of Optics for Beginners”,
3rd
Edition, McGraw-Hill publications.
[10]. Francis A.Jenkins, Harvey E.White, “Fundamentals-of-
Optics”, 4th
Edition, McGraw-Hill primis Custom Publishing.
[11]. Rafael C. Gonzalez, Richard E.Woods ,”Digital Image
Processing”,3rd Edition, Pearson Education.
[12]. Micheal F.Deering, “A Photon Accurate Model of the
Human Eye”, SIGGRAPH 2005 paper.
[13]. Gabriela Gonzalez and Alistair Fitt C.Math FIMA,
“Mathematical modeling of human eyes”,4th
Edition.
[14]. Warren J.Smith’s, ”Modern optical Engineering”, 3rd
Edition, McGraw-Hill publication.
BIOGRAPHIES
First Author T.Saikanth received M.Tech degree in
Computer Science and Engineering from Vasavi College of
Engineering, Hyderabad, India. He is currently working as
research assistant in R&D department of Vasavi College of
Engineering, Hyderabad. His research interests are Image
Processing and Computer Vision.
Second Author C.Gireesh is working as Assistant Professor at
Vasavi College of Engineering, Hyderabad, India. He received
M.Tech. Degree in Computer Science and Engineering from
Sri Venkateswara Univesity Tirupathi, Andhra Pradesh. His
research interests are Machine Learning, Soft Computing,
Image Processing, Bio-Informatics.

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Design of gaussian spatial filter to determine the amount of refraction error in human eye

  • 1. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Special Issue: 05 | May-2014 | NCEITCS-2014, Available @ http://www.ijret.org 42 DESIGN OF GAUSSIAN SPATIAL FILTER TO DETERMINE THE AMOUNT OF REFRACTION ERROR IN HUMAN EYE T.Saikanth1 , C.Gireesh2 1 Department of Computer Science and Engineering, Vasavi College of Engineering, Hyderabad, Andhra Pradesh, 500031, India 2 Department of Computer Science and Engineering, Vasavi College of Engineering, Hyderabad, Andhra Pradesh, 500031, India Abstract The subjective method of eye testing (Myopia/Hyperopia) involves the communication between the optometrist and the Patient. Communication about the vision/clarity of an eye chart, which the Patient experiences, to the Optometrist and the communication which the Optometrist does to Patient would decide the final prescription. Though the Optometrist is expert in communication, if the Patient gives incorrect responses, it leads to inaccurate prescription. To overcome the above problem, the idea is to develop a novel eye testing method called “Patient Subjective Eye Testing (PSET)”, in which a Myopia/Hyperopia Patient interacts with a software application installed on a tablet. A standard eye chart is projected on to a screen. A similar eye chart is also displayed on the tablet. Now the Patient blurs the eye chart that is displayed on the tablet device by applying power in the units of 0.0625 diopters until he/she experiences no difference in the blurness of the optotypes in the projected chart and the displayed chart. The power is recorded and written in to prescription. For the realization of the above method, a Gaussian spatial filter is designed, which blurs the optotypes of the displayed eye chart similar to the blurness experienced in human eye. To design the filter, the amount of Gaussian blur per unit refraction error in human eye is determined by designing a human eye model using ZEMAX tool. For every unit of 0.0625 diopters ( in the range -2 diopters to +2 diopters) change in refraction power of the eye the amount of deviation in Gaussian energy distribution, on the retina, is determined. With these deviation values Gaussian masks are generated which are used by Gaussian filter to blur the eye chart images that are displayed on a tablet device. Keywords— Gaussian mask, Blur, Zemax, Myopia, Hyperopia. -----------------------------------------------------------------------***---------------------------------------------------------------------- 1. INTRODUCTION 1.1Refraction Problems in Eye Blur is the subjective experience or perception of a defocus aberration within the eye. Blur may appear differently depending on the amount and type of refractive error. The following are some examples of blurred images that may result from refractive errors of eye. Myopia and Hyperopia causes the image to be appear blurred. 1.2 Myopia Myopia commonly known as being nearsighted (American English) and shortsighted (British English).A condition of the eye where the light that comes in does not directly focus on the retina but in front of it As shown in Figure 1.2.1. This causes the image that one sees when looking at a distant object to be out of focus but in focus when looking at a close object. Eye care professionals most commonly correct myopia through the use of corrective lenses, such as glasses or contact lenses. The corrective lenses have a negative optical power (i.e. are concave) which compensates for the excessive positive diopters of the myopic eye [3]. Figure 1.2.1 Myopia 1.3 Hyperopia Hyperopia, also known as farsightedness, long-sightedness or hypermetropia, is a defect of vision caused by an imperfection in the eye, causing near objects appear blurred. The light that comes in does not directly focus on the retina but behind of it
  • 2. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Special Issue: 05 | May-2014 | NCEITCS-2014, Available @ http://www.ijret.org 43 as shown in Figure 1.3.1. The corrective lenses have a positive optical power (i.e. are concvex) which compensates for the excessive negative diopters of the hyperopic eye. Fig 1.3.1 Hyperopia 2. OBJECTIVE EYE TESTING The current objective systems for finding the refractive error in human eye are [8]  Auto Refractor  Retinoscopy 2.1 Auto Refractor Auto refractor is a computer-controlled machine used during an Eye examination to provide an objective measurement of a person's Refractive error and prescription for glasses or contact lens. Automated refraction is particularly useful when dealing with non-communicative people such as young children or those with disabilities. The automated refraction technique is quick, simple and painless. After application of a cycloplegic agent to keep the ciliary muscle in relaxed position and avoid the erroneous diagnosis of a pseudomyopia, the patient takes a seat and places their chin on a rest. One eye at a time, they look into the machine at a picture inside. The picture moves in and out of focus as the machine takes readings to determine when the image is on the retina. Several readings are taken which the machine averages to form a prescription. No feedback is required from the patient during this process. Within seconds an approximate measurement of a person's prescription can be made by the machine and printed out or shared electronically with an Automated Refraction System. Fig 2.1.1 AutoRefractor 2.2 Retinoscopy Retinoscopy is a technique to obtain an objective measurement of the refractive error of a patient's eyes. The examiner uses a retinoscopy as shown in the below Figure 2.6.2 to shine light into the patient's eye and observes the reflection (reflex) off the patient's retina. While moving the streak or spot of light across the pupil the examiner observes the relative movement of the reflex then uses a phoropter or manually places lenses over the eye (using a trial frame and trial lenses) to "neutralize" the reflex. Fig 2.2.1 Retinoscopy Retinoscopy is a technique to obtain an objective measurement of the refractive error of a patient's eyes. Retinoscopy is particularly useful in prescribing corrective lenses for patients who are unable to undergo a subjective refraction that requires a judgment and response from the patient. SUBJECTIVE EYE TESTING 3.1 Phoropter A phoropter is an instrument commonly used by eye care professionals during an eye examination, containing different lenses used for refraction of the eye during sight testing, to measure an individual's refractive error and determine his or her eyeglass prescription. Phoropter is shown in the below Figure 2.5.1 Fig 3.1.1 Phoropter
  • 3. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Special Issue: 05 | May-2014 | NCEITCS-2014, Available @ http://www.ijret.org 44 Typically, the patient sits behind the phoropter, and looks through it at an eye chart placed at optical infinity (20 feet or 6 meters), then at near (16 inches or 40 centimeters) for individuals needing reading glasses. The eye care professional then changes lenses and other settings, while asking the patient for subjective feedback on which settings gave the best vision. The lenses within a phoropter refract light in order to focus images on the patient's retina. The optical power of these lenses is measured in 0.25 diopter increments. By changing these lenses, the examiner is able to determine the spherical power, cylindrical power, and cylindrical axis necessary to correct a person's refractive error. The presence of cylindrical power indicates the presence of astigmatism which has an axis measured from 0 to 180 degrees away from being aligned horizontally. Phoropters are made with either plus or minus cylinders. Traditionally, ophthalmolgists and orthoptists use plus cylinder phoropters and optometrists use minus cylinder phoropters. The phoropters also include prismatic lenses which are used to analyze binocular vision and treat orthoptic problems. 4. THE PROPOSED PSET METHOD 4.1 PSET System Hardware and Software Requirements The “Patient Subjective Eye Test (PSET)” system requires 1. A 7’’ inches or 10’’ inches Tablet having 1280*800 display resolution and running Android 4.0 or above. 2. A Projector to project standard eye charts on to a screen. 3. An “I-Tester” and OpenCV Manager Android applications installed on the Tablet. 4.2 PSET Procedure for Myopia Test one eye at a time. Start with the right eye, covering the left one without pressing on it. Then, examine the left eye by doing the opposite. 1. A standard eye chart is projected on to a screen which is in front of the customer at 3 meters distance. 2. The tablet is kept in front of the customer at 1 meter distance. The Tablet is operated through a Bluetooth mouse. 3. The I-Tester application is invoked. The application start screen contains image icons of different eye charts. 4. The Optometrist instructs the customer to click on an appropriate eye chart. 5. The selected eye chart is displayed along with positive , negative power buttons and a slide bar. 6. Now the Optometrist instructs the customer to blur the optotypes in the eye chart that is displayed on the tablet device by applying positive power in the units of 0.0625 diopters until the customer experiences no difference in the vision /clarity of the optotypes in the projected chart and the displayed chart. 7. The customer stops applying power at the point when he/she does not find difference in the vision /clarity of the optotypes in the projected chart and the displayed chart. 8. The Optometrist records the power value and the negative of it is written in to the prescription. Hence the spherical power is determined for Myopia. 4.3 PSET Procedure for Hyperopia Test one eye at a time. Start with the right eye, covering the left one without pressing on it. Then, examine the left eye by doing the opposite. 1. A standard eye chart is kept in front of the customer at 16 inches distance. 2. The tablet is kept in front of the customer at 1 meter distance. The Tablet is operated through a Bluetooth mouse. 3. The I-Tester application is invoked. The application start screen contains image icons of different eye charts. 4. The Optometrist instructs the customer to click on an appropriate eye chart. 5. The selected eye chart is displayed along with two push down buttons to apply positive or negative power. 6. Now the Optometrist instructs the customer to blur the optotypes in eye chart that is displayed on the tablet device by applying negative power in the units of 0.0625 diopters until the customer experiences no difference in the vision /clarity of the optotypes in the original chart and the displayed chart. 7. The customer stops applying power at the point when he/she does not find difference in the vision /clarity of the optotypes in the projected chart and the displayed chart. 8. The Optometrist records the power value and the +ve of it is written in to the prescription. Hence the spherical power is determined for Hyperopia. 5. IMPLEMENTATION AND RESULTS For the realization of the PSET method, a Gaussian spatial filter is designed, which blurs the optotypes of the displayed eye chart similar to the blurness experienced in human eye. To design the filter, the amount of Gaussian blur per unit refraction error in human eye is determined by designing a human eye model using ZEMAX tool. For every unit of 0.0625 diopters ( in the range -2 diopters to +2 diopters) change in refraction power of the eye the amount of deviation
  • 4. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Special Issue: 05 | May-2014 | NCEITCS-2014, Available @ http://www.ijret.org 45 in Gaussian energy distribution, on the retina, is determined. With these deviation values Gaussian masks are generated which are used by Gaussian filter to blur the eye chart images that are displayed on a tablet device. Fig 5.1 Eye model without any power consists of Corenea, Lens, Globe, Retina. Fig 5.2: 3D Layout of eye for +0.25diopers positive power. The Figure 5.2 Describes the eye model with +0.25 diopters positive lens power consists of Corenea, Lens, Globe, Retina. Fig 5.3: 3D Layout of eye for -0.25 diopters Negative power The Figure 5.3 Describes the eye model with Negative lens power consists of Cornea, Lens, Globe, Retina. The amount of deviation in Gaussian energy distribution, on the retina, for every unit of 0.0625 diopters ( in the range -2 diopters to +2 diopters) change in refraction power of the eye is recorded. Diopter Sigma -2 14.05578759 -1.9375 13.64856802 -1.875 13.14289976 -1.8125 12.72285203 -1.75 12.24850835 -1.6875 11.81533413 -1.625 11.37589499 -1.5625 10.92959427 -1.5 10.47702864 -1.4375 10.01760143 -1.375 9.551312649 -1.3125 9.130966587 -1.25 8.704952267 -1.1875 8.218973747 -1.125 7.781026253 -1.0625 7.337112172 -1 6.887231504 -0.9375 6.431384248 -0.875 5.969570406 -0.8125 5.560859189 -0.75 5.088305489 -0.6875 4.670346062 -0.625 4.187947494 -0.5625 3.762231504 -0.5 3.333830549 -0.4375 2.904534606
  • 5. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Special Issue: 05 | May-2014 | NCEITCS-2014, Available @ http://www.ijret.org 46 -0.375 2.476431981 -0.3125 2.054295943 -0.25 1.64826969 -0.1875 1.32875895 -0.125 1.0325179 -0.0625 1.01625895 0 1 0.625 1.290274463 0.125 1.626491647 0.1875 2.00477327 0.25 2.408412888 0.3125 2.829355609 0.375, 3.263126492 0.4375 3.707338902 0.5 4.160501193 0.5625 4.622016706 0.625 5.012529833 0.6875 5.488066826 0.75 5.970763723 0.8125 6.378878282 0.875 6.874701671 0.9375 7.293556086 1 7.802505967 1.0625 8.145883055 1.125 8.66676611 1.1875 9.01849642 1.25 9.551610979 1.3125 10.00178998 1.375 10.4573389 1.4375 10.91825776 1.5 11.38424821 1.5625 11.85590692 1.625 12.33323389 1.6875 12.71927208 1.75 13.20674224 1.8125 13.700179 1.875 14.09934368 1.9375 14.50208831 2 15.01103819 A plot is drawn between amount of deviation in Gaussian energy distribution, on the retina, for every unit of 0.0625 diopters ( in the range -2 diopters to +2 diopters) change in refraction power of the eye. The plot in figure 5.4 illustrates that as the negative power of eye increases the amount of deviation in Gaussian energy distribution, on the retina, is decreasing. As the positive power of eye increases the amount of deviation in Gaussian energy distribution, on the retina, is increasing. Fig 5.4 Plot Lens power Vs Sigma Values Gaussian mask (5X5) for different sigma values: Gaussian masks of size 5*5 are generated for all the negative and positive powers by substituting respective sigma value in the following Matlab code. These masks are applied on the Snellen chart to realize the blurness experienced in human eye. m=5; n=5; Sigma=0.022; [h1,h2]=meshgrid(-(m-1)/2: (m-1)/2,-(n-1)/2: (n-1)/2); hg=exp(-(h1.^2+h2.^2)/(2*sigma^2)); h=hg./sum(hg(: )) Fig 5.6 Original Image of Snellenchart
  • 6. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Special Issue: 05 | May-2014 | NCEITCS-2014, Available @ http://www.ijret.org 47 Fig 5.7 Image blur with 0.25diopters 6. CONCLUSIONS We conclude that our proposed eye testing method improves the optometrist work efficiency and patient’s satisfaction. The communication between optometrist and patient is minimized and accuracy of the prescription is maximized. The cost of eye test can also be reduced. Using subjective process of estimating blur per unit lens power is more accurate than current objective process. With the subjective process the patient interaction is more, so that less chances of dissatisfaction among patient with doctors prescription. Productivity of the optometrist can be increased. Training to the new optometrists can make easy. REFERENCES [1]. Guillaume Franc¸ois, Pascal Gautron, Gaspard Breton, and Kadi Bouatouch “Image-Based Modeling of the Human Eye”, IEEE Transactions on Visualization and Computer graphics, VOL. 15, NO. 5, SEPTEMBER/OCTOBER 2009. [2]. http://www.allaboutvision.com/resources/anatomy.htm [3]. http://en.wikipedia.org/wiki/Myopia [4]. http://en.wikipedia.org/wiki/Hypermetropia [5]. http://en.wikipedia.org/wiki/Astigmatism_(eye) [6]. http://en.wikipedia.org/wiki/Eyeglass_prescription [7]. http://www.ftc.gov/opa/2004/10/contactlens.shtm [8].http://vision.about.com/od/eyeexamination1/a/Eye_Refract ion.htm [9]. Reinhard Jenny, “Fundamentals of Optics for Beginners”, 3rd Edition, McGraw-Hill publications. [10]. Francis A.Jenkins, Harvey E.White, “Fundamentals-of- Optics”, 4th Edition, McGraw-Hill primis Custom Publishing. [11]. Rafael C. Gonzalez, Richard E.Woods ,”Digital Image Processing”,3rd Edition, Pearson Education. [12]. Micheal F.Deering, “A Photon Accurate Model of the Human Eye”, SIGGRAPH 2005 paper. [13]. Gabriela Gonzalez and Alistair Fitt C.Math FIMA, “Mathematical modeling of human eyes”,4th Edition. [14]. Warren J.Smith’s, ”Modern optical Engineering”, 3rd Edition, McGraw-Hill publication. BIOGRAPHIES First Author T.Saikanth received M.Tech degree in Computer Science and Engineering from Vasavi College of Engineering, Hyderabad, India. He is currently working as research assistant in R&D department of Vasavi College of Engineering, Hyderabad. His research interests are Image Processing and Computer Vision. Second Author C.Gireesh is working as Assistant Professor at Vasavi College of Engineering, Hyderabad, India. He received M.Tech. Degree in Computer Science and Engineering from Sri Venkateswara Univesity Tirupathi, Andhra Pradesh. His research interests are Machine Learning, Soft Computing, Image Processing, Bio-Informatics.