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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

Singaraju Jyothi, Dadala Mary Mamatha
Copyright: © 2017 |Pages: 25
ISBN13: 9781522518808|ISBN10: 1522518800|EISBN13: 9781522519768
DOI: 10.4018/978-1-5225-1880-8.ch017
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MLA

Jyothi, Singaraju, and Dadala Mary Mamatha. "Image Processing: A Practical Approach with Real World Applications Using Matlab." Handbook of Research on Science Education and University Outreach as a Tool for Regional Development, edited by B. Pandu Ranga Narasimharao, et al., IGI Global, 2017, pp. 223-247. https://doi.org/10.4018/978-1-5225-1880-8.ch017

APA

Jyothi, S. & Mamatha, D. M. (2017). Image Processing: A Practical Approach with Real World Applications Using Matlab. In B. Narasimharao, E. Wright, S. Prasad, & M. Joshi (Eds.), Handbook of Research on Science Education and University Outreach as a Tool for Regional Development (pp. 223-247). IGI Global. https://doi.org/10.4018/978-1-5225-1880-8.ch017

Chicago

Jyothi, Singaraju, and Dadala Mary Mamatha. "Image Processing: A Practical Approach with Real World Applications Using Matlab." In Handbook of Research on Science Education and University Outreach as a Tool for Regional Development, edited by B. Pandu Ranga Narasimharao, et al., 223-247. Hershey, PA: IGI Global, 2017. https://doi.org/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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