Image Processing and Machine Learning

This book serves as a textbook for students and instructors of image processing, covering the theoretical foundations and practical applications of some of the most prevalent image processing methods and approaches.

List of contents

Volume 1
Preface Volume 1. 1. Pixel Operations. 2. Spatial Filtering. 3. Edge Detection. 4. Segmentation and Processing of Binary Images. 5. Corner Detection. 6. Line Detection. Index.
Volume 2
Preface Volume II. 1 Morphological Operations. 2 Color Images. 3 Geometric Operations in Images. 4 Comparison and Recognition of Images. 5 Mean-Shift Algorithm for Segmentation. 6 Singular Value Decomposition in Image Processing. Index.

Summary

This book serves as a textbook for students and instructors of image processing, covering the theoretical foundations and practical applications of some of the most prevalent image processing methods and approaches.

Product details

• Authors: Erik Cuevas, Alma Rodriguez, Alma Nayeli Rodríguez
• Publisher: Taylor and Francis
• Languages: English
• Product format: Paperback / Softback
• Release: 16.11.2024, delayed
• EAN: 9781032661292
• ISBN: 978-1-03-266129-2
• No. of pages: 434
• Weight: 1010 g
• Illustrations: Farb., s/w. Abb.
• Series: (ISC)2 Press
• Subject: Natural sciences, medicine, IT, technology > Biology > Ecology