1st Edition
Image Processing and Machine Learning, Volume 1 Foundations of Image Processing
224 Pages
13 Color & 241 B/W Illustrations
by
Chapman & Hall
224 Pages
13 Color & 241 B/W Illustrations
by
Chapman & Hall
Also available as eBook on:
Image processing and machine learning are used in conjunction to analyze and understand images. Where image processing is used to pre-process images using techniques such as filtering, segmentation, and feature extraction, machine learning algorithms are used to interpret the processed data through classification, clustering, and object detection. This book serves as a textbook for students and... Read more
Contents
Preface Volume 1
Chapter 1 Pixel Operations
Chapter 2 Spatial Filtering
Chapter 3 Edge Detection
Chapter 4 Segmentation and Processing of Binary Images
Chapter 5 Corner Detection
Chapter 6 Line Detection
Biography
Erik Cuevas, Alma Nayeli Rodríguez
