2. Image Processing
Abstract
Main aim of Image processing is to extract important data from images. Using this
extracted information description, interpretation and understanding of the scene can
be provided by the machine. Main point of image processing is to modify images in
to desired manner. This system allows users to take hard copy of the image using
printer routines and provides option for users to store file in to disk in different
formats. In other words image processing is called as altering and analyzing pictorial
information of images. In our daily life we come across different type of image
processing best example of image processing in our daily life is our brain sensing lot
of images when we see images with eyes and processing is done is very less time.
3. What is Image Processing ?
Image processing is a method to perform some operations on an image , in order to
get an enhanced image or to extract some useful information from it.
It is a type of signal dispensation in which input is image, like video frame or
photograph and output may be image or characteristics associated with that image.
Includes:
Image display and printing
Image editing and manipulation
Image enhancement
Feature detection
Image compression
10. And many more applications:
Digital inpainting
City planning
Region detection
Compression
11. What are essential for image processing
Signal processing: An image is a 2D/3D signal , hence knowing signal
processing will introduce you to the process which you need to apply on an
image for specific task such as filtering or convolution.
Matrix theory and linear algebra : As an image is a matrix, knowing matrix
theory will give an analtical point of view in image processing such us
applications of singular value decomposition in image processing.
Probability theory: As many applications of image processing are dealing
with probabilistic system hence knowing probability theory will bring you
new ideas such as makrov chain .
12. Purpose of Image Processing
Visualization - Observe the objects 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.
15. Future
We all are in midst of revolution ignited by fast development in computer
technology and imaging.
Against common belief, computers are not able to match humans in calculation
related to image processing and analysis.
But with increasing sophistication and power of the modern computing,
computation will go beyond conventional, Von Neumann sequential architecture and
would contemplate the optical execution too.
16. Advantages
This one is more accurate than the overlapping method because it is based upon
minutia.
It is an interactive method for recognizing fingerprints.
17. Disadvantages
It is more time consuming as compared to the former.
More complex program.
18. Conclusion
• Using image processing techniques, we can sharpen the images, contrast to
make a graphic display more useful for display, reduce amount of memory
requirement for storing image in for mation, etc., due to such techniques, image
processing is applied in recognition of images´ as in factory floor quality
assurance systems; image enhancement', as in satellite reconnaissance systems;
image synthesis´ as in law enforcement suspect identification systems, and
image construction´ as in plastic surgery design systems.
