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Course Detail

Course Name Biomedical Image Processing
Course Code 15ECE324
Program B. Tech. in Electronics and Communication Engineering
Year Taught 2019


Unit 1

Objectives of biomedical image analysis – Computer aided diagnosis – Nature of medical images: X-ray imaging – Tomography – Nuclear medicine imaging – SPECT imaging – Positron imaging tomography – Ultrasonography – Magnetic resonance imaging. Removal of artifacts – Space domain filters – Frequency domain filters – Optimal filtering – Adaptive filters.

Unit 2

Image enhancement – Gray level transforms – Histogram transformation – Convolution mask operators – Contrast enhancement. Detection of regions of interest – Thresholding and binarization – Detection of isolated lines and points – Edge detection – Region growing.

Unit 3

Analysis of shape and texture – Representation of shapes and contours – Shape factors – Models for generation of texture – Statistical analysis of texture – Fractal analysis – Fourier domain analysis of texture – Segmentation and structural analysis of texture. Pattern classification and diagnostic decision – Measures of diagnostic accuracy – Applications: Contrast enhancement of mammograms – Detection of calcifications by region growing – Shape and texture analysis of tumours.

Text Books

  1. Sinha G. R, Patel, B. C., “Medical Image Processing: Concepts And Applications”, Prentice Hall, 2014.
  2. Gonzalez R C, Woods R E, “Digital Image Processing”, Third Edition, Prentice Hall, 2007


  1. Rangayyan R M, “Biomedical Image Analysis”, Fifth Edition, CRC Press, 2005
  2. KayvanNajarian, Robert Splinter, “Biomedical Signal and Image Processing”, Second Edition, CRC Press, 2014.
  3. Deserno T M, “Biomedical Image Processing”, Springer, 2011.

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