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Image Processing: A Practical Approach with Real World Applications Using Matlab

Image Processing: A Practical Approach with Real World Applications Using Matlab
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Author(s): Singaraju Jyothi (Sri Padmavati Mahila Visvavidyalayam (Women's University), India)and Dadala Mary Mamatha (Sri Padmavati Mahila Visvavidyalayam (Women's University), India)
Copyright: 2017
Pages: 25
Source title: Handbook of Research on Science Education and University Outreach as a Tool for Regional Development
Source Author(s)/Editor(s): B. Pandu Ranga Narasimharao (Indira Gandhi National Open University IGNOU, India), Elizabeth Wright (Keck Graduate Institute (KGI), USA), Shashidhara Prasad (University of Mysore, India)and Meghana Joshi (Keck Graduate Institute (KGI), USA)
DOI: 10.4018/978-1-5225-1880-8.ch017

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Abstract

This chapter gives an introductory to intermediate level text on the science of image processing. It employs the Matlab programming language to illustrate some of the elementary key concepts in modern image processing and pattern recognition. The approach taken is essentially practical and the chapter offers a framework within which the concepts can be understood by a series of well-chosen examples, exercises and computer experiments, drawing on specific examples from within science, medicine and engineering. Particularly, the modern applications such as agriculture, aquaculture, food industrial analysis and Hyperspectral images analysis are discussed in this chapter with illustrations using Matlab.

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