Digital Image Processing Using MATLAB offers a balanced treatment of image processing fundamentals and the software principles used in their implementation. The book integrates material from the 4th edition of Digital Image Processing by Gonzalez and Woods, the leading textbook in the field, and Image Processing Toolbox. Image Processing Toolbox provides a stable, well-supported software environment for addressing a broad range of applications in digital image processing. A unique feature of the book is its emphasis on showing how to enhance these tools by developing new code. This is important in image processing, a field that generally requires extensive experimental work in order to arrive at suitable application solutions.
Written for senior-level undergraduates and first-year graduate students, Digital Image Processing, 4e introduces basic concepts and methodologies for digital image processing. Its topics include digital image fundamentals, image restoration, image processing, and image segmentation. The book expands and adds on to some third edition topics, including deep learning and deep neural networks. It also includes improvements to the organization of the image transforms chapter as well as the examples and exercises scattered throughout the book.
Avoiding heavy mathematics and lengthy programming details, Digital Image Processing: An Algorithmic Approach with MATLAB presents an easy methodology for learning the fundamentals of image processing. The book applies the algorithms using MATLAB, without bogging down students with syntactical and debugging issues.One chapter can typically be compl 2b1af7f3a8