DIGITAL IMAGE PROCESSING
Dr. S. SHAJUN NISHA, M.C.A., M.Phil., M.Tech., M.B.A., Ph.D.,
Assistant Professor and Head,
PG and Research Department of Computer Science,
Sadakathullah Appa College,
Tirunelveli- 627011.
Introduction
•“One picture is worth more than ten thousand
words”
•Anonymous
Image Sources
Image Source – GAMMA Ray
1. Nuclear medicine
using radioactive
isotopes
2. Astronomical
observations
Application
Image Source – x-ray
• Medical
field(Angiogram)
• Astronomy
• Industrial application
to study circuit boards
to identify
discontinuity
Application
Image Source - Ultraviolet Ray
• Lithography
• Industrial application
• Microscopy
• Lasers
• Biological imaging
• Astronomical
observations
Application
Image Source- Infrared and Visible band
• Light microscopy
• Astronomy
• Remote sensing
• Industry
• Law enforcement
Application
Image Source - Microwave band
• In Radar
Application
Image Source – Radio Band
• MRI scan
Application
Image Source – Sound
• Geological exploration
• Industry
• Medicine
Examples: The Hubble Telescope
•Launched in 1990 the Hubble
telescope can take images of
very distant objects
•However, an incorrect mirror
made many of Hubble’s
images useless
•Image processing
techniques were
used to fix this
Examples: Artistic Effects
•Artistic effects are
used to make images
more visually
appealing, to add
special effects and to
make composite
images
Examples: Medicine
•Take slice from MRI scan of canine heart, and
find boundaries between types of tissue
– Image with gray levels representing tissue density
– Use a suitable filter to highlight edges
Original MRI Image of a Dog Heart Edge Detection Image
Examples: GIS
•Geographic Information Systems
– Digital image processing techniques are used
extensively to manipulate satellite imagery
– Terrain classification
– Meteorology
Examples: GIS (cont…)
•Night-Time Lights of the
World data set
– Global inventory of
human settlement
– Not hard to imagine
the kind of analysis
that might be done
using this data
Examples: Industrial Inspection
•Human operators are
expensive, slow and
unreliable
•Make machines do the
job instead
•Industrial vision systems
are used in all kinds of
industries
•Can we trust them?
Examples: PCB Inspection
•Printed Circuit Board (PCB) inspection
– Machine inspection is used to determine that all
components are present and that all solder joints
are acceptable
– Both conventional imaging and x-ray imaging are
used
Examples: Law Enforcement
•Image processing
techniques are used
extensively by law enforcers
– Number plate recognition
for speed
cameras/automated toll
systems
– Fingerprint recognition
– Enhancement of CCTV
images
Examples: HCI
•Try to make human computer
interfaces more natural
– Face recognition
– Gesture recognition
•Does anyone remember the
user interface from “Minority
Report”?
•These tasks can be extremely
difficult
Email: shajunnisha78@gmail.com
Mobile: 9942096220

Dip application 1

  • 1.
    DIGITAL IMAGE PROCESSING Dr.S. SHAJUN NISHA, M.C.A., M.Phil., M.Tech., M.B.A., Ph.D., Assistant Professor and Head, PG and Research Department of Computer Science, Sadakathullah Appa College, Tirunelveli- 627011.
  • 2.
    Introduction •“One picture isworth more than ten thousand words” •Anonymous
  • 3.
  • 4.
    Image Source –GAMMA Ray 1. Nuclear medicine using radioactive isotopes 2. Astronomical observations Application
  • 5.
    Image Source –x-ray • Medical field(Angiogram) • Astronomy • Industrial application to study circuit boards to identify discontinuity Application
  • 6.
    Image Source -Ultraviolet Ray • Lithography • Industrial application • Microscopy • Lasers • Biological imaging • Astronomical observations Application
  • 7.
    Image Source- Infraredand Visible band • Light microscopy • Astronomy • Remote sensing • Industry • Law enforcement Application
  • 8.
    Image Source -Microwave band • In Radar Application
  • 9.
    Image Source –Radio Band • MRI scan Application
  • 10.
    Image Source –Sound • Geological exploration • Industry • Medicine
  • 11.
    Examples: The HubbleTelescope •Launched in 1990 the Hubble telescope can take images of very distant objects •However, an incorrect mirror made many of Hubble’s images useless •Image processing techniques were used to fix this
  • 12.
    Examples: Artistic Effects •Artisticeffects are used to make images more visually appealing, to add special effects and to make composite images
  • 13.
    Examples: Medicine •Take slicefrom MRI scan of canine heart, and find boundaries between types of tissue – Image with gray levels representing tissue density – Use a suitable filter to highlight edges Original MRI Image of a Dog Heart Edge Detection Image
  • 14.
    Examples: GIS •Geographic InformationSystems – Digital image processing techniques are used extensively to manipulate satellite imagery – Terrain classification – Meteorology
  • 15.
    Examples: GIS (cont…) •Night-TimeLights of the World data set – Global inventory of human settlement – Not hard to imagine the kind of analysis that might be done using this data
  • 16.
    Examples: Industrial Inspection •Humanoperators are expensive, slow and unreliable •Make machines do the job instead •Industrial vision systems are used in all kinds of industries •Can we trust them?
  • 17.
    Examples: PCB Inspection •PrintedCircuit Board (PCB) inspection – Machine inspection is used to determine that all components are present and that all solder joints are acceptable – Both conventional imaging and x-ray imaging are used
  • 18.
    Examples: Law Enforcement •Imageprocessing techniques are used extensively by law enforcers – Number plate recognition for speed cameras/automated toll systems – Fingerprint recognition – Enhancement of CCTV images
  • 19.
    Examples: HCI •Try tomake human computer interfaces more natural – Face recognition – Gesture recognition •Does anyone remember the user interface from “Minority Report”? •These tasks can be extremely difficult
  • 20.