MNIT Jaipur Syllabus computer science Digital Image Processing
Digital Image Processing
Digital Image Fundamentals: Image Model, Sampling, Quantization, Neighborhood, connectivity of
pixels, Labelling of connected components, Distance measures
Image Transforms: Fourier Transform, Discrete Fourier Transform, Properties of 2D Discrete Fourier
Transform, The fast Fourier Transform and its algorithm, number of operations, the inverse FFT.
Discrete Cosine Transform and its applications, KL Transform, Convolution and correlation
Image Enhancement: Enhancement by point processing, spatial filtering, enhancement in frequency
domain, generation of spatial masks from frequency domain specifications
Image Segmentation: Detection of discontinuities, edge linking and boundary detection, thresholding,
region oriented segmentationRepresentation and Description: Representation schemes, boundary descriptors, regional descriptors.
Morphology: Dilation, erosion, opening, closing, Hit-or-Miss Transform, some basic morphological
algorithms like pruning, thinning and thickening
1. Gonzalez and Woods. Digital Image Processing, Addison Wesley.
2. Castleman. Digital Image Processing. Prentice Hall.
3. Duda and Hart. Pattern Classification. John Wiley.