Algorithms for Image Processing and Computer Vision

by James R. Parker

A cookbook of algorithms for common image processing applications

Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in mathematics. This bestselling book has been fully updated with the newest of these, including 2D vision methods in content-based searches and the use of graphics cards as image processing computational aids. It’s an ideal reference for software engineers and developers, advanced programmers, graphics programmers, scientists, and other specialists who require highly specialized image processing.

Algorithms now exist for a wide variety of sophisticated image processing applications required by software engineers and developers, advanced programmers, graphics programmers, scientists, and related specialists This bestselling book has been completely updated to include the latest algorithms, including 2D vision methods in content-based searches, details on modern classifier methods, and graphics cards used as image processing computational aids Saves hours of mathematical calculating by using distributed processing and GPU programming, and gives non-mathematicians the shortcuts needed to program relatively sophisticated applications.

Algorithms for Image Processing and Computer Vision, 2nd Edition provides the tools to speed development of image processing applications.

Genres: Computer Science, Programming, Algorithms

712 pages, Kindle Edition

First published November 25, 1996

Reviews

[Franck Chauvel · Rating 3 out of 5]

As the title says, this is about image processing. I liked Parker's approach: he starts with basic image processing techniques to spot edges, boundaries, etc. and gradually introduces more challenging task: object detection and object recognition and classification. The book ends with a glimpse at high performance and parallel computing.

Overall, I think this reads very well. I especially appreciated how Parker tries to convey intuitions beyond formulas (there are a few here). I think this is a very good introduction for those new to image processing and computer vision.

[Tuấn Đỗ ngọc]

very good