7th Sem, BME

BM5702: Principles of Digital Image Processing Syllabus for Biomedical 7th Sem 2019 Regulation Anna University

Principles of Digital Image Processing detailed syllabus for Biomedical Engineering (Biomedical) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the Biomedical students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Biomedical Engineering 7th Sem scheme and its subjects, do visit Biomedical 7th Sem 2019 regulation scheme. The detailed syllabus of principles of digital image processing is as follows.

Principles of Digital Image Processing

Course Objective:

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 pdfs platform to make students’s lives easier.
Get it on Google Play.

Unit I

Digital Image Fundamentals
Elements of digital image processing systems – Elements of visual perception, brightness, contrast, hue, saturation, mach band effect, Color image fundamentals – RGB, HSI models, Image sampling, Quantization, Two- dimensional mathematical preliminaries, 2D transforms – DFT, DCT, KLT, SVD.

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 pdfs platform to make students’s lives easier.
Get it on Google Play.

Unit III

Image Segmentation
Edge detection, Edge linking via Hough transform – Thresholding – Region based segmentation -Region growing – Region splitting and merging – Segmentation by morphological watersheds – Hybrid methods

Unit IV

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 pdfs platform to make students’s lives easier.
Get it on Google Play.

Unit V

Image Compression
Need for data compression, Huffman, Run Length Encoding, Shift codes, Arithmetic coding, Vector Quantization, Transform coding, JPEG standard, MPEG.

Course Outcome:

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 pdfs platform to make students’s lives easier.
Get it on Google Play.

Text Books:

  1. Rafael C. Gonzalez, Richard E. Woods, “Digital Image Processing””, Pearson, Education, Inc., 4th Edition, 2017.
  2. Anil K. Jain, “Fundamentals of Digital Image Processing””, Pearson Education, Inc., 1st Edition, 2015.
  3. Milan Sonka, Vaclav Hlavac and Roger Boyle, “Image Processing, Analysis and Machine vision””, Cengage, 3rd Edition, 2013.

References:

  1. Kenneth R. Castleman, “Digital Image Processing”, Pearson, 1st Edition, 2007.
  2. Rafael C. Gonzalez, Richard E. Woods, Steven Eddins, “Digital Image Processing using MATLAB””, Pearson Education, Inc., 2nd Edition, 2017.
  3. William K. Pratt, “Digital Image Processing” ,Wiley India Pvt Ltd, 4th Edition, 2010.
  4. Alan C. Bovik, “Handbook of image and video processing”, Elsevier Academic press, 2005
  5. S.Sridhar, “Digital Image processing”, Oxford University press, 2ndEdition, 2016

For detailed syllabus of all other subjects of Biomedical Engineering, 2019 regulation curriculum do visit Biomedical 7th Sem subject syllabuses for 2019 regulation.

For all Biomedical Engineering results, visit Anna University Biomedical all semester results direct link.

Leave a Reply

Your email address will not be published. Required fields are marked *

*