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Digital Image Processing Semester 6 (TE Third Year) BE Biomedical Engineering University of Mumbai Topics and Syllabus

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CBCGS [2018 - current]
CBGS [2014 - 2017]
Old [2000 - 2013]

University of Mumbai Semester 6 (TE Third Year) Digital Image Processing Revised Syllabus

University of Mumbai Semester 6 (TE Third Year) Digital Image Processing and their Unit wise marks distribution

Units and Topics

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Syllabus

100 Basics of Image Processing
  • Image acquisition
  • Processing
  • Communication
  • Display
  • Electromagnetic spectrum
  • Elements of visual perception - Structure of the human eye, Image formation in the eye, Brightness adaptation and discrimination, Image formation model, Uniform and non-uniform sampling, Quantization, Image formats.
200 Image Enhancement
  • Spatial domain -
  • Point processing techniques
  • Histogram processing
  • Neighbourhood processing
  • Frequency domain techniques - 2D-DFT
  • Properties of 2D-DFT
  • Low pass
  • High pass
  • Noise removal
  • Homomorphic filter
  • Basics of colour image processing.
300 Image Segmentation
  • Basic relationships between pixels - Neighbours, Adjacency, Connectivity, Regions, Boundaries, Distance measures.
  • Detection of discontinuities, Point, Line
  • Edge detection
  • Edge linking
  • Hough transform
  • Thresholding-based segmentation
  • Region-based segmentation.
400 Image Transforms
  • DFT, FFT, DCT, DST
  • Hadamard, Walsh, Haar, Slant
  • K-L Transforms
  • Basis functions and basis images
  • Introduction to wavelet transform.
500 Image Compression
  • Fundamentals of image compression models
  • Lossless compression - RLE, Huffman, LZW, Arithmetic coding techniques.
  • Lossy compression - IGS coding, Predictive coding, Transform coding, JPEG, JPEG 2000.
600 Morphology, Representation and Description
  • Dilation
  • Erosion
  • Open, Close
  • Hitor-miss
  • Boundary extraction
  • Region filling
  • Thinning and thickening
  • Chain Codes
  • Polygonal approximations
  • Signatures
  • Fourier descriptors
  • Moments.
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