DocumentCode :
1196874
Title :
Image Processing: Principles and Applications [book review]
Author :
Camastra, F.
Volume :
18
Issue :
2
fYear :
2007
fDate :
3/1/2007 12:00:00 AM
Firstpage :
610
Lastpage :
610
Abstract :
This book provides an introduction to the field of image processing. The text consists of eighteen chapters, covering some of the following topics: image formation; sampling; quantization; color imagery; image transformation techniques; wavelet transform; image segmentation; pattern classification methods; texture representation and analysis methods; fuzzy set theory; content-based image retrieval and image mining; biomedical image analysis and image mining; dynamic scene analysis, moving object detection, and tracking; image compression; and JPEG standards. The book is written in a clear and effective way. It offers comprehensive surveys on JPEG standards, including details on the emerging JPEG2000 standard. A large part of the book is devoted to a discussion of practical applications of image processing. While the authors could combine some chapters and offer problem sections, the book could serve as a useful monography for students, researchers, and engineers who want to deepen and refresh their knowledge of image processing.
Keywords :
Book reviews; Data mining; Image analysis; Image color analysis; Image processing; Image sampling; Image texture analysis; Pattern analysis; Quantization; Transform coding;
fLanguage :
English
Journal_Title :
Neural Networks, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9227
Type :
jour
DOI :
10.1109/TNN.2007.893088
Filename :
4118252
Link To Document :
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