Digital Image Processing And Analysis

Digital Image Processing And Analysis

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Product Specifications

Publisher PHI Learning All Computer Science books by PHI Learning
ISBN 9788120343252
Author: Bhabatosh Chanda And Dwijesh Dutta Majumder
Number of Pages 488
Edition Second Edition
Available in all digital devices
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About The Book Digital Image Processing And Analysis

Book Summary:

The second edition of this extensively revised and updated text is a result of the positive feedback and constructive suggestions received from academics and students alike. It discusses the fundamentals as well as the advances in digital image processing and analysisboth theory and practiceto fulfil the needs of students pursuing courses in Computer Science and Engineering (CSE) and Electronics and Communication Engineering (ECE), both at undergraduate and postgraduate levels. It is also considered useful for teachers, professional engineers and researchers.

This title is recommended in Guahati University, Assam for Ph.D. in Electronics and Communication Engineering, Assam University, Assam, Tezpur University, Assam for M. Sc. in Physics, West Bengal University of Technology (WBUT), West Bengal for M.Sc. Information Science & B.Tech., Jadavpur University, West Bengal for Master of Computer Science and Engineering, Vidyasagar University for M.Sc., Barrackpore Rastraguru Surendranath College, Kolkata, West Bengal for M.Sc. (Computer Science), Biju Patnaik University of Technology (BPUT), Odisha for M.Tech (Electronics & Communication Engineering) & M.Tech. (Electronics and Telecommunication Engineering), Centurion University, Odisha for M.Tech (Communication Systems).

The second edition has three objectives. First, each and every chapter has been modified in the light of recent advances as well as emerging concepts. Second, a good deal of colour image processing has been incorporated. A large number of line drawings and images have been included to make the book student friendly. Third, some new problems have been added in almost all chapters to test the students understanding of the real-life problems.

The other distinguishing features of the book are :

A summary at the end of the chapter to help the student capture the key points.

About 320 line drawings and 280 photographs for easy assimilation of the concepts.

Chapter-end problems for extensive practice and research.

Table of Contents:
Chapter 1 Introduction
Chapter 2 Mathematical Preliminaries
Chapter 3 Visual Preliminaries
Chapter 4 Image Formation
Chapter 5 Digitization
Chapter 6 Image Enhancement
Chapter 7 Restoration
Chapter 8 Image Compression
Chapter 9 Registration
Chapter 10 Multi-valued Image Processing
Chapter 11 Segmentation
Chapter 12 Edge and Line Detection
Chapter 13 Feature Extraction
Chapter 14 Description
Chapter 15 Recognition