Bio-Inspired Computing for Image and Video Processing

D. P. Acharjya, V. Santhi

© 2018 - Chapman and Hall/CRC
Published December 22, 2017
Reference - 404 Pages - 222 B/W Illustrations
ISBN 9781498765923 - CAT# K29117

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Features

  • Places a strong prominence on understanding the use of bio-inspired computing advancements and their application in image processing
  • Illustrates numerous image processing applications right through the book, demonstrating real-life applications
  • Focuses on bio-inspired computing and optimization models in relation to image processing application building
  • Utilizes diagrams, tables, figures, figure captions and an elaborate bibliography to explain technological advancements, and to increase accessibility to the material

Summary

In recent years bio-inspired computational theories and tools have developed to assist people in extracting knowledge from high dimensional data. These differ in how they take a more evolutionary approach to learning, as opposed to traditional artificial intelligence (AI) and what could be described as 'creationist' methods. Instead bio-inspired computing takes a bottom-up, de-centralized approach that often involves the method of specifying a set of simple rules, a set of simple organisms which adhere to those rules, and of iteratively applying those rules.

Bio-Inspired Computing for Image and Video Processing covers interesting and challenging new theories in image and video processing. It addresses the growing demand for image and video processing in diverse application areas, such as secured biomedical imaging, biometrics, remote sensing, texture understanding, pattern recognition, content-based image retrieval, and more.

This book is perfect for students following this topic at both undergraduate and postgraduate level. It will also prove indispensable to researchers who have an interest in image processing using bio-inspired computing.

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