Digital Image Processing, Global Edition Rafael Gonzalez and Richard Woods is a study book that focuses on digital image processing. This English-language edition covers the core principles and applications of image processing and is intended for use in higher education and professional settings.
The book covers fundamental topics in digital image processing, such as depth in neural networks, convolutional networks, scale-invariant feature extraction (SIFT), and various clustering and segmentation techniques. In addition, it pays attention to advanced methods such as active contours and histogram matching. This edition introduces a restructuring of image transformation concepts and improved explanations of spatial filters.
The content aligns with disciplines such as image processing, electrical engineering, and computers, with a focus on optical data processing. As such, this book is suitable as a reference work and study material for professionals and students who are delving into digital images and image processing techniques.