6th Sem, BM

BTBM601: Medical Image Processing and Analysis Syllabus for BM 6th Sem 2019-20 DBATU

Medical Image Processing and Analysis detailed syllabus scheme for B.Tech Biomedical Engineering (BM), 2019-20 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.

For all other DBATU Syllabus for Biomedical Engineering 6th Sem 2019-20, do visit BM 6th Sem 2019-20 Onwards Scheme. The detailed syllabus scheme for medical image processing and analysis is as follows.

Medical Image Processing and Analysis Syllabus for Biomedical Engineering (BM) 3rd Year 6th Sem 2019-20 DBATU

Medical Image Processing and Analysis

Course Objectives:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
Get it on Google Play.

Course Outcomes:

  1. Learner will be able to learn the fundamental concepts of medical image acquisition
  2. Learner will be able to understand how to apply the image processing techniques for various medical images.

Unit I

Fundamentals Of Digital Image And Transforms
Elements of Visual perception, Image sampling and quantization, Neighborhood pixel Relationships – Basic Image operations – Arithmetic, Geometric and Morphological, Image transform: 2d DFT- Discrete cosine-, Sine-, Haar-, and Hadamard- transform.

Unit II

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
Get it on Google Play.

Unit III

Image Segmentation And Object Recognition
Edge detection- Marr Hidreth edge detector – Canny edge detector, Thresholdingfoundation – Basic global thresholding – Basic Adaptive thresholding, Region Based segmentation, Watershed segmentation algorithm, Patterns and pattern classes, Recognition based on decision theoretic methods-matching, Optimum statistical classifiers.

Unit IV

Image Compression
Image compression- Fundamentals – Image compression standards- Coding: Run length-, Huffman- Arithmetic-, Bit plane-, Transform- and Lossy- and lossless-predictive coding.

Unit V

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
Get it on Google Play.

Text Books:

  1. Geoddes L.A, and Baker L.E, “Principles of Applied BiomedicalInstrumentation”, John Wiley, 3rd Edition, 1975, Reprint 1989.
  2. Rafael C, Gonzalez and Richard E Woods, “Digital Image Processing”, Pearson Education Asia, Third Edition, 2007.
  3. Anil K Jain, “Fundamentals of Digital Image Processing, Prentice Hall of India, 2nd edition 1997.

Reference Books:

  1. William K Pratt, “Digital Image Processing”, John Wiley NJ, 4th Edition, 2007.
  2. Albert Macouski, “Medical Imaging systems”, Prentice Hall, New Jersey 2nd edition 1997.

For detail syllabus of all other subjects of Biomedical Engineering (BM) 6th Sem 2019-20 regulation, visit BM 6th Sem Subjects syllabus for 2019-20 regulation.

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