Practical Digital Image Processing
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Practical Digital Image Processing
Aims to bridge a gap between introductory texts on image processing and more specialist works which contain considerable amounts of complex mathematics. Emphasis is placed on the selection and use of techniques rather than their implementation.
Digital Image Processing : Practical Implementation With MATLAB
Author: Dr. A Chrispin Jiji
language: en
Publisher: Booksclinic Publishing
Release Date: 2023-12-30
The book Digital Image Processing Practical Implementation with MATLAB is strictly based on the syllabus prescribed by V.T.U., mainly for the students of 7TH semester B.E. (Electronics and Communication Engineering and Telecommunication Engineering). It covers the theoretical and implementation using MATLAB This book deals with 5 Modules: The first module deals with the fundamentals of Digital Image Processing. The second module gives detailed information about Image Enhancement. The third module deals with the methods of Image Restoration. The fourth module gives detailed information about color, wavelet and Morphological image Processing. The fifth module deals with Segmentation, Representation and Description.
Digital Image Processing: Practical Approach
The SpringerBrief covers fundamentals of digital image processing including image concept, image file formats, creating user interfaces and many practical examples of processing images using C++ and Java. These practical examples include among other creating image histograms, performing lossless image compression, detecting change in colors, similarity-based image retrieval and others. All practical examples are accompanied with an explanation how to create programs and the obtained results. This SpringerBrief can be very useful for the undergraduate courses on image processing, providing students with the basic tools in image analysis and processing. Practitioners and researchers working in this field will also find this research useful.