M.Tech, Syllabus

JNTUH M.Tech 2017-2018 (R17) Detailed Syllabus Medical Image Processing

Medical Image Processing Detailed Syllabus for Biomedical Signal Processing and Instrumentation M.Tech first year second sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.

The detailed syllabus for Medical Image Processing M.Tech 2017-2018 (R17) first year second sem is as follows.

M.Tech. I Year II Sem.

UNIT – I : Digitized Image Functions: Dirac distributions, convolution, Fourier transform, Images as linear system. Image digitization, sampling, Quantization, color images. Digital image properties, Metric and topological properties, Histogram visual perception, Image quality, Noise. Nature of Biomedical images, Objectives of biomedical image analysis, Difficulties in biomedical image acquisition and analysis.

UNIT – II : Image Enhancement: Contrast manipulation, histogram equalization, Laplacian derivatives, Sobel and Klisch operators, rank operators –textural analysis. Image pre processing – pixel brightness transformations, Geometric transformations, local pre processing, Image restoration. Imaging filters. Biomedical applications.

UNIT – III : Thresholding and Segmentation: Detection methods, optimal thresholding, multi-spectral thresholding. Edge based segmentation, Region based segmentation, Matching, Advanced optimal border and surface detection approaches.

UNIT – IV : Restoration: Deterministic, geometric linear filtration, inverse filtering, power spectrum equalization, stochastic. Wiener filtering. Registration, anatomy based, object based, scene based. Biomedical applications.

UNIT – V : Image Reconstruction: Image reconstruction from projections, Radon transform, Methods for generating projection data, Transmission tomography, Reflection tomography, Emission tomography, Magnetic resonance imaging, Fourier slice theorem, Back-projection theorem. Image Coding and Compression: Lossy verses lossless compression, Fundamental concepts of coding, Image coding and compression standards, Biomedical applications.

TEXT BOOKS:

  • John C Russ, “The image processing handbook”, CRC and IEEE press, 1999.
  • Milan Sonka, Vaclav Hlavac, Roger Boyle, “Image processing, analysis and machine vision”, 2nd Edition, Brooks Cole publishing Co., 1999.

REFERENCE BOOKS:

  • Jayaram, Kudupa and Gabor,T Herman, “3D imaging in medicine”, 2nd Edition, CRC press, 2000.
  • Craig A.Hindley,” Practical image processing in C”, John Wiley and Sons, 1991.
  • R C Gonzalez, Wintz Paul, “Digital Image Processing”, Addision Wesley, 2nd Edition, 1987.
  • A K Jain, “Fundamental of Digital Image Processing”, Prentice Hall, 2002.
  • Rangaraj M. Rangayyan, “Biomedical Image Analysis”, CRC Press, 2000.
  • Sid-Ahmed Maher A, “Image Processing Theory, Algorithms and Architecture”, McGraw Hill, 1994.

For all other M.Tech 1st Year 2nd Sem syllabus go to JNTUH M.Tech Biomedical Signal Processing and Instrumentation 1st Year 2nd Sem Course Structure for (R17) Batch.

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