MNIT Jaipur Syllabus computer science Digital Image Processing

 

 

 

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

Text/References:

1. Gonzalez and Woods. Digital Image Processing, Addison Wesley.

2. Castleman. Digital Image Processing. Prentice Hall.

3. Duda and Hart. Pattern Classification. John Wiley.

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