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.
This book offers a balanced treatment of image processing fundamentals and the software principles used in their implementation. It integrates material from a leading text and the Image Processing Toolbox from The MathWorks, providing a stable environment for various digital image processing applications. A unique aspect is its focus on enhancing tools through new code development, crucial for achieving acceptable solutions in image processing, which often requires extensive experimentation. Key highlights include an extensive upgrade in this edition, featuring over 120 new MATLAB image processing functions, marking a 40% increase over existing functions in the toolbox. It discusses and implements algorithms and MATLAB functions central to digital image processing, such as intensity transformations, spatial filtering, fuzzy image processing, frequency domain filtering, image restoration, geometric transformations, color image processing, wavelets, compression, morphology, segmentation, representation, and object recognition. Additionally, this edition includes major revisions and introduces new topics like the Radon transform, function-generating functions, advanced geometric transformations, image registration, color profiles, video compression functions, adaptive thresholding algorithms, and new image features, such as minimum-perimeter polygons and local corner features.