Branch : Information Technology, VIII Semester
Course: Image Processing
Unit II: Image Enhancement: Intensity transformations, histogram processing, Image subtraction, image averaging, Spatial filtering-smoothing and sharpening filters, frequency domain filtering methods-low pass filtering, high pass filtering, median filtering.
Unit III: Image compression: Redundancy and its types. Image compression model, variable length coding, bit plane coding, constant area coding, run length coding, lossless and lossy predictive coding, transform coding.
Unit IV: Image restoration and Segmentation: Degradation model, effect of diagonalisation on degradation, algebraic approach. Detection of discontinuities by point, line and edge detection. Edge linking, graph theoretic techniques, thresholding techniques, region oriented segmentation.
Unit V: Representation & Description: Chain codes, polygonal approximations, signatures, boundary segments, skeleton, boundary descriptors, shape descriptors regional descriptors, image morphology-dilation, erosion, opening, closing, thickening, thinning, skeleton, pruning,, hit or miss transform.
Image Processing References:-
- R.C Gonzalez & Richard E Wood, “Digital Image Processing” ,Addison Wesley Publishing
- Anil K Jain, “Fundamentals of Digital image processing”. PHI.
- Sonka, Hlavac, Boyle, “Digital image processing and computer vision”, cengage learning, India Edition.
- B Chanda, D. Dutta Majumder, “Digital image Processing and Analysis”, PHI.