Farid
Digital Image Processing
by Rafael Gonzalez
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ISBN: B09TB8M315 • Publisher: • Year: 2022
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📂 [color=#ff5555]Category: Computer Image Processing, Pattern Recognition, Computer Vision & Pattern Recognition
🌐 [color=#55acee]Language: English
📄 [color=#44bb44]Pages: 513
Description: 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 Edition is based on an extensive survey of faculty, students, and independent readers in 5 institutions from 3 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), MERS, graph cuts, k-means clustering and superpiels, active contours (snakes and level sets), and each 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. Major revisions and additions were made to examples and homework exercises throughout the book.
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📦 DOWNLOAD INFORMATION
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Folder:Digital Image Processing Theory Practice And AI Applications
Format:PDF
Total Size:23.83 MB
📋 File List:
[size=2]
📌 Digital Image Processing 2026 Azimi‐Sadjadi.pdf (Rafael Gonzalez) (2022) (23.83 MB)
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