Rafael C. Gonzalez Reihenfolge der Bücher

Digital Image Processing Using MATLAB is the first book to offer a balanced treatment of image processing fundamentals and the software principles used in their implementation. The book integrates material from the leading text, Digital Image Processing by Gonzalez and Woods, and the Image Processing Toolbox from The MathWorks, Inc., a leader in scientific computing. The 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 those tools by developing new code. This is important in image processing, an area that normally requires extensive experimental work in order to arrive at acceptable application solutions. Some Highlights: (1) This new edition is an extensive upgrade of the book. (2) Over 120 new MATLAB image processing functions are developed, a 40 % increase over existing functions in the Image Processing Toolbox. (3) Algorithms and MATLAB functions in the mainstream of digital image processing are discussed and implemented, including: Intensity transformations; spatial filtering; fuzzy image processing; filtering in the frequency domain; image restoration and reconstruction; geometric transformations and image registration; color image processing; wavelets; image and video compression; morphology; image segmentation; image representation and description; and object recognition. (4) In addition to a major revision of the topics from the first edition, features in this edition include new coverage of: The Radon transform; image processing functions based on function-generating functions (function factories); geometric transformations; image registration; color profiles and device-independent color conversions; functions for video compression; adaptive thresholding algorithms; new image features, including minimum-perimeter polygons and local (corner) features.

Completely self-contained and heavily illustrated, this introduction to basic concepts and methodologies for digital image processing is written at a level that is suitable for seniors and first-year graduate students in almost any technical discipline.

Introduce your students to image processing with the industry’s most prized text. For 40 years, this foundational text has been essential for studying digital image processing, catering to college seniors and first-year graduate students with a background in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. The focus remains on the fundamentals. The 4th Edition, marking the book’s 40th anniversary, incorporates feedback from faculty, students, and independent readers across 150 institutions in 30 countries. This has resulted in expanded coverage of contemporary topics such as deep learning, deep neural networks, convolutional neural nets, scale-invariant feature transform (SIFT), maximally-stable extremal regions (MSERs), graph cuts, k-means clustering, superpixels, active contours (snakes and level sets), and exact histogram matching. Significant improvements include a more cohesive presentation of image transforms and enhanced discussions on spatial kernels and filtering. Additionally, revisions and new examples and homework exercises have been added throughout. For the first time, MATLAB projects accompany each chapter, along with support packages for students and instructors that include solutions, image databases, and sample code.