Digital Image Processing by Pearson, 4th Edition, 2018.pdf
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《数字图像处理》（第四版）由Pearson出版于2018年，本书系统地介绍了数字图像处理的基本理论、技术及应用领域，是该领域的经典教材和参考书。
**Details**
- **Title:** Digital Image Processing, 4th Edition
- **Author:** Rafael C. Gonzalez, Richard E. Woods
- **Length:** 1192 pages
- **Edition:** 4
- **Language:** English
- **Publisher:** Pearson
- **Publication Date:** March 30, 2017
- **ISBN-10:** 0133356728
- **ISBN-13:** 9780133356724
- **Sales Rank:** #680902 (See Top 100 Books)
**Categories:**
- Computers & Technology
- Engineering & Transportation
- Engineering
- Textbooks
**Description:**
Introduce your students to image processing with the industry’s most prized text. For over four decades, Image Processing has been the foundational book for studying digital image processing. It is designed for college seniors and first-year graduate students who have a background in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming.
The fourth edition celebrates forty years of excellence with extensive input from faculty members, students, and independent readers across 150 institutions in thirty countries. Their feedback led to expanded or new coverage on topics such as deep learning and neural networks (including convolutional neural nets), 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.
Significant improvements were made in organizing material on image transforms for a more cohesive presentation. The book also underwent major revisions to the discussion of spatial kernels and filtering techniques. Numerous examples and homework exercises have been updated throughout the text.
For the first time, MATLAB projects are included at the end of every chapter, along with support packages containing solutions, image databases, and sample code.
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