Digital image processing

The 4th Edition, which celebrates the book’s 40th anniversary, is based on an extensive survey of faculty, students, and independent readers in 150 institutions from 30 countries. Their feedback led to expanded or new coverage of topics such as deep learning and deep neural networks, including convo...

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Tác giả chính: Gonzalez, Rafael C.
Tác giả khác: Rafael C. Gonzalez; Richard E. Woods
Ngôn ngữ:Undetermined
English
Được phát hành: New York Pearson 2018
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Thư viện lưu trữ: Trung tâm Học liệu Trường Đại học Trà Vinh
LEADER 01724nam a2200277Ia 4500
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020 |a 0133356728 
020 |a 9780133356724 
041 |a eng 
082 |a 621.367 
082 |b G643 
100 |a Gonzalez, Rafael C. 
245 0 |a Digital image processing 
245 0 |c Rafael C. Gonzalez, Richard E. Woods 
260 |a New York 
260 |b Pearson 
260 |c 2018 
300 |a xii, 1168 p. 
300 |b ill. 
300 |c 24 cm 
504 |a Includes bibliographical references and index 
520 |a The 4th Edition, which celebrates the book’s 40th anniversary, is based on an extensive survey of faculty, students, and independent readers in 150 institutions from 30 countries. Their feedback led to expanded or new coverage of topics such as deep learning and deep neural networks, including convolutional neural nets, the scale-invariant feature transform (SIFT), maximally-stable extremal regions (MSERs), graph cuts, k-means clustering and superpixels, active contours (snakes and level sets), and exact histogram matching. Major improvements were made in reorganizing the material on image transforms into a more cohesive presentation, and in the discussion of spatial kernels and spatial filtering. Major revisions and additions were made to examples and homework exercises throughout the book. For the first time, we added MATLAB projects at the end of every chapter, and compiled support packages for you and your teacher containing, solutions, image databases, and sample code 
650 |a Image processing 
700 |a Rafael C. Gonzalez; Richard E. Woods 
980 |a Trung tâm Học liệu Trường Đại học Trà Vinh