The Pocket Handbook of Image Processing Algorithms in C
| Author | : | |
| Rating | : | 4.65 (819 Votes) |
| Asin | : | 0137033478 |
| Format Type | : | paperback |
| Number of Pages | : | 320 Pages |
| Publish Date | : | 2013-05-31 |
| Language | : | English |
DESCRIPTION:
MARKETS: For users and developers of image processing systems and programs.. This handy desktop reference gathers together into one easy-to-use volume the most popular image processing algorithms. Designed to be used at the computer terminal, it features an illustrated, annotated dictionary format – with clear, concise definitions, examples, and C program code. Covers algorithms for adaptive filters, coding and compression, color image processing, histogram operations, image fundamentals, mensuration, morphological filters, nonlinear filters, segmentation, spatial filters, spatial frequency filters, storage formats, and transforms. Includes graphic oriented techniques such as warping, morphing, zooming, and dithering. Provides algorithms for image noise generation
. From the Back Cover The programmer is often found surrounded by a library of texts, loaded with formulas and mathematically described algorithms. In this book we have tried to bring within a single, desktop friendly cover--in a simple, easy to use format --the most popular of the vast ensemble of image processing algorithms
Excellent cookbook of image processing algorithms This book is excellent if you use it as intended - to lift working C code for the implementation of a variety of image processing algorithms. There are even algorithms for computer vision techniques such as circularity, compactness, and finding the minimum or maximum axis. This book assumes that you already know how to program in C and that you are already familiar with the theory of image processing as it was never intended to be a textbook on either of these subjects. However, this does not mean that this cookbook is devoid of theory. Each tra. "VERY USEFUL - shows signs of age, mediocre code" according to Manuel A. Ricart. Very useful book. It provides *many* useful algorithms. The book is tiny, VERY USEFUL - shows signs of age, mediocre code Very useful book. It provides *many* useful algorithms. The book is tiny, 3x5x1 so pound for pound it is a great (and portable!) book.Some issues however detract from a 5 star rating:a) The code examples are lame (lots of single letter variables) and poor C idioms, and some silly extra calculations, like counting pixels one at time in a loop when a single multiply would yield the same result.b)The book feels old even though it was written in 1993. It has a codec for MacPaint files. If this doesn't ring a bell to you, MacPaint was written circa 1. x5x1 so pound for pound it is a great (and portable!) book.Some issues however detract from a 5 star rating:a) The code examples are lame (lots of single letter variables) and poor C idioms, and some silly extra calculations, like counting pixels one at time in a loop when a single multiply would yield the same result.b)The book feels old even though it was written in 199VERY USEFUL - shows signs of age, mediocre code Very useful book. It provides *many* useful algorithms. The book is tiny, 3x5x1 so pound for pound it is a great (and portable!) book.Some issues however detract from a 5 star rating:a) The code examples are lame (lots of single letter variables) and poor C idioms, and some silly extra calculations, like counting pixels one at time in a loop when a single multiply would yield the same result.b)The book feels old even though it was written in 1993. It has a codec for MacPaint files. If this doesn't ring a bell to you, MacPaint was written circa 1. . It has a codec for MacPaint files. If this doesn't ring a bell to you, MacPaint was written circa 1. "Useful little book" according to t_e_nelson@hotmail.com. This book presents many algorithms and their C implementations in alphabetical order. Many of the entries show the result of the algorithm's application on an image. A table of contents groups the algorithms into classes, such as image fundamentals (convolution, correlation), morphological filters, and nonlinear filters. The basic stuff is all there. Also included in the appendix are programs to read and write image data, which can be used in conjunction with the C code listed for each algorithm for a working solution.The theory is not emphasize