B.Sc. CSIT — Fifth Semester
Digital Image, A Simple Image Model,Fundamental steps in Image Processing, Elements of Digital Image Processing systems, Element of visual perception, Sampling and Quantization, Some basic relationships like Neighbors, Connectivity, DistanceMeasures between pixels
Point operations, contrast stretching, clipping and thresholding, digital negative, intensity level slicing, bit plane slicing, Histogram Equalization, Spatial operations: Averaging, median, filtering spatial low pass and high pass, high boost filter, high frequency emphasis filter, Laplacian filter, magnification by replication and interpolation.
Introduction to Fourier Transform and the frequency Domain, Computing and Visualizing the 2D DFT, Fast Fourier Transform, Smoothing Frequency Domain Filters, Sharpening Frequency Domain Filters, Other Image Transforms (Hadamard transform, Haartransform and Discrete Cosine transform)
Image Restoration: Models for Image degradation and restoration process, Noise Models, Estimation of Noise Parameters, Restoration Filters, Bandrejected Filters, Bandpass Filters. Image Compression: Image compression models, Pixel coding: run length, bit plane, Predictive and inter-frame coding
Logic Operations involving binary images, Dilation and Erosion, Opening and Closing. Unit 6: Image Segmentation (8 Hrs.)\n65 Image Segmentation: Point Detection, Line Detection, Edge Detection, Gradient Operator, Edge Linking and Boundary Detection, Hough Transform, Thresholding, Region-oriented Segmentation.
Image Segmentation: Point Detection, Line Detection, Edge Detection, Gradient Operator, Edge Linking and Boundary Detection, Hough Transform, Thresholding, Region-oriented Segmentation.
Introduction to some descriptors (Chain codes, Signatures, Shape Numbers, Fourier Descriptors), Patterns and pattern classes, Decision-Theoretic Methods, Overview of Neural Networks in Image Processing, Overview of pattern recognition.
