Digital Image Processing, Global Edition (4th edition)
Rafael C Gonzalez; Richard E Woods
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Deskripsi Buku
For years Image Processing has been the foundational text for the study of digital image processing The book is suited for students at the college senior and first year graduate level with prior background in mathematical analysis vectors matrices probability statistics linear systems and computer programming As in all earlier editions the focus of this edition of the book is on fundamentals The 4th Edition is based on an extensive survey of faculty students and independent readers in 5 institutions from 3 countries Their feedback led to epanded or new coverage of topics such as deep learning and deep neural networks including convolutional neural nets the scale invariant feature transform SIFT maimally stable etremal regions MSERs graph cuts k means clustering and superpiels active contours snakes and level sets and eact histogram matching Major improvements were made in reorganising the material on image transforms into a more cohesive presentation and in the discussion of spatial kernels and spatial filtering For years, Image Processing has been the foundational text for the study of digital image processing. The book is suited for students at the college senior and first-year graduate level with prior background in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. As in all earlier editions, the ...focus of this edition of the book is on fundamentals. The 4th Edition is based on an extensive survey of faculty, students, and independent readers in 5 institutions from 3 countries. Their feedback led to epanded or new coverage of topics such as deep learning and deep neural networks, including convolutional neural nets, the scale-invariant feature transform (SIFT), maimally-stable etremal regions (MSERs), graph cuts, k-means clustering and superpiels, active contours (snakes and level sets), and eact histogram matching. Major improvements were made in reorganising the material on image transforms into a more cohesive presentation, and in the discussion of spatial kernels and spatial filtering.
