1. BY ASHWINI AWATARE

2. Contents:-What is Image Processing ?Steps followed in Image Processing .Purpose of Image Processing.Types of Image Processing .Applications of Image Processing .Applications in details .Advantage and Limitations .Resources . 3. What is Image ProcessingImage processing is a method to convert an imageinto digital form and perform some operations on it, inorder to get an enhanced image or to extract someuseful information from it.Usually Image Processing system includes treatingimages as two dimensional signals while applyingalready set signal processing methods to them. 4. Images as functions 5. Image Processing :An image defined in the "real world" is considered to bea function of two real variables say x , y. Before going to processing an image, it is converted intoa digital form. Digitization includes sampling of imageand quantization of sampled values. After converting the image into bit information, processingis performed. This processing technique may be,*Image enhancement* Image reconstruction* Image compression 6. Image enhancement refers to accentuation, orsharpening, of image features such as boundaries.Image restoration is concerned with filtering theobserved image to minimize the effect ofdegradations.Image compression is concerned with minimizing thenumber of bits required to represent an image.* Text compression - CCITT GROUP3 & GROUP4* Still image compression - JPEG* Video image compression -MPEG 7. Image processing basically includesthe following three steps. Importing the image with optical scanner or by digitalphotography.Analyzing and manipulating the image which includesdata compression and image enhancement andspotting patterns that are not to human eyes likesatellite photographs. Output is the last stage in which result can be alteredimage or report that is based on image analysis. 8. Modern digital technology has made it possible tomanipulate multi-dimensional signals with systemsthat range from simple digital circuits to advancedparallel computers. The goal of this manipulation canbe divided into three categories:* Image Processing image in -> image out* Image Analysis image in -> measurements out* Image Understanding image in -> high-leveldescription outImage processing is referred to processing of a 2Dpicture by a computer. 9. Purpose of Image processingThe purpose of image processing is divided into 5 groups.They are: Visualization - Observe the objects that are not visible. Image sharpening and restoration - To create a betterimage. Image retrieval - Seek for the image of interest. Measurement of pattern Measures various objects inan image. Image Recognition Distinguish the objects in animage. 10. Types of Image Processing There are two types of the Image Processing1> Analog Image ProcessingAnalog Image Processing refers to thealteration of image through electrical means.The most common example is the televisionimage. 11. 2>Digital Image Processing :In this case, digital computers are used toprocess the image. The image will be converted to digital form using ascanner digitizer and then process it. It is defined as the subjecting numericalrepresentations of objects to a series of operations inorder to obtain adesired result 12. Applications :Computer VisionAgricultural ApplicationsFace DetectionMedical ImagingMicroscope Image ProcessingRaster OperationRemote Sensing Non-destructive Evaluation 13. Applications Forensic Studies Textiles Material Science. Military Film industry Document processing Graphic arts Printing Industry 14. Document Handling 15. Signature Verification 16. Biometrics 17. Fingerprint Verification / Identification 18. Fingerprint Identification Research at UNRMinutiae MatchingDelaunay Triangulation 19. Object Recognition Researchreference view 1 reference view 2novel view recognized 20. Indexing into Databases Shape content 21. Interpretation of AerialPhotographyInterpretation of aerial photography is a problem domain in bothcomputer vision and registration. 22. Autonomous Vehicles Land, Underwater, Space 23. Traffic Monitoring 24. Face Detection 25. Face Recognition 26. Face Detection/Recognition Research atUNR 27. Facial Expression Recognition 28. Face Tracking 29. Hand Gesture Recognition Smart Human-Computer User Interfaces Sign Language Recognition 30. Human Activity Recognition 31. Medical Applications skin cancer breast cancer 32. Morphing 33. Inserting Artificial Objects into a Scene 34. AdvantageAdvantages are as follows : you can remove unwanted objects, adjust exposure,saturation, hue, levels, sharpness, and more.Easy to manipulate. Compact storage. 35. Limitations :-Limitations are as follows:It's very costly depending on the system used, thenumber of detectors purchased. Time consuming Lack of qualified professional 36. THANK YOU