Digital Image Processing by S. Sridhar

Digital Image Processing

byS. Sridhar

Paperback | July 15, 2011

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Digital Image Processing is a fundamental textbook designed to cater to the needs of undergraduate engineering students of computer science, information technology, electronics and electrical engineering. The book aims to provide an understanding of the principles and various processingtechniques of digital images to further the utility of images. Spread over twelve chapters, this book starts with a discussion on fundamentals followed by a brief chapter on digital imaging system, and then broadly addresses the core topics of interest such as image transforms, image enhancement, image compression, image segmentation, colour image processing.The book also extends the discussion to popular research domains such as biometrics, steganography, image mining and content based retrieval systems providing a brief overview on these topics. The book strikes a perfect balance between theoretical and mathematical exposition with lots of numerical examples, review questions, numerical exercises, and MATLAB programs.

About The Author

Dr S Sridhar is Associate Professor, Department of Information Science and Technology, College of Engineering Guindy, Anna University, Chennai. He has more than 20 years of active teaching and research experience. He has served as a project trainee at Council for Scientific and Industrial Research (CSIR), Chennai and Indian Space Rese...

Details & Specs

Title:Digital Image ProcessingFormat:PaperbackDimensions:656 pages, 9.84 × 7.48 × 1.06 inPublished:July 15, 2011Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0198070780

ISBN - 13:9780198070788

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Table of Contents

1. Introduction to Image Processing2. Digital Imaging System3. Digital Image Processing Operations4. Digital Image Transforms5. Image Enhancement and Restoration6. Image Compression7. Image Segmentation8. Colour Image Processing Algorithms9. Image Morphology10. Image Features Representation and Description11. Object Recognition12. Related Topics