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Li, Jia; Gray, Robert M. - Image Segmentation and Compression Using Hidden Markov Models - 9780792378990 - V9780792378990
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Image Segmentation and Compression Using Hidden Markov Models

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Description for Image Segmentation and Compression Using Hidden Markov Models Hardback. Image segmentation is a process for dividing an image into its constituent parts. This volume presents an algorithm that models the statistical dependence among image blocks by two dimensional hidden Markov models (HMMs). It is useful for researchers and engineers working in statistical signal processing or image processing. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 141 pages, biography. BIC Classification: TTB; UYT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 11. Weight in Grams: 405.
In the current age of information technology, the issues of distributing and utilizing images efficiently and effectively are of substantial concern. Solutions to many of the problems arising from these issues are provided by techniques of image processing, among which segmentation and compression are topics of this book.
Image segmentation is a process for dividing an image into its constituent parts. For block-based segmentation using statistical classification, an image is divided into blocks and a feature vector is formed for each block by grouping statistics of its pixel intensities. Conventional ... Read more

Product Details

Format
Hardback
Publication date
2000
Publisher
Kluwer Academic Publishers United States
Number of pages
141
Condition
New
Series
The Springer International Series in Engineering and Computer Science
Number of Pages
141
Place of Publication
Dordrecht, Netherlands
ISBN
9780792378990
SKU
V9780792378990
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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