2. IMAGE PROCESSING
• Method to convert an image into digital form
and perform some operations in it, in order to
get an enhanced image or to extract some
useful information from it.
• Type of signal dispensation.
• input (video/photograph) output
image Image /characteristics
3. • Technology of applying a number of computer
algorithms to process digital images.
• In image processing system usually images are
treated as 2D signals.
4.
5. Purpose of image processing
• Visualization
– -observe the object that are not visible.
• Image sharpening and restoration
– -to create a better image.
• Image retrieval
– -seek for the image of interest.
• Measurement of pattern
– -measures various objects in an image.
• Image recognition
– -distinguish the objects in an image.
6. VISUALIZATION
• Visualization is any technique in creating
images while image processing uses signals for
which the result in an image.
7.
8. IMAGE SHARPENING AND
RESTORATION
• The purpose of image restoration is to
"compensate for" or "undo" defects which
degrade an image.
• Degradation comes in many forms such as
motion blur, noise, and camera misfocus.
9.
10. Image retrieval
• The image retrieval system is used for
retrieving images related to the user request
from the database.
13. • Image pattern recognition is the problem of exploring
how to recognize image patterns.
• An image pattern recognition system generally consists
of four parts:
• a camera that acquires the image samples to be
classified,
• an image preprocessor that improves the qualities of
images,
• a feature extraction mechanism that gains
discriminative features from images for recognition,
• and a classification scheme that classifies the image
samples based on the extracted features.
14. Image recognition
• Image recognition is the process of identifying
an object or a feature in an image or video. It
is used in many applications like defect
detection, medical imaging, and security
surveillance.
15.
16. ADVANTAGES
• Improves visual quality of an image and
distribution of intensity.
• It can easily process a degraded image of
uncoverable objects.
• It can process an image in such a way that the
result is more suitable than the original image.
• An image can be easily modified using a
number of techniques.
17. • The image compression technique reduces the
amount of data required to represent a digital
image.
• Mathematical and logical operations can be
performed on an image like addition,subtraction
etc.
• The image segmentation is used to detect
discontinuity, the presence or absence of specific
anomolies like missing components or broken
connection path.
18. DISADVANTAGES
• Requires so much storage and processing
power.
• Progress in this field depends on development
of digital computers and supporting
technologies like data storage,display and
transmission.
• Effect of environmental conditions may
degrade the image quality.
19. • It involves various types of redundancy like
data redundancy and inter pixel redundancy.
• Segmentation of non trivial image is very
difficult.
