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Image Segmentation and Compression Using Hidden Markov Models
Jia, Li; Gray, Robert M.
€ 192.73
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Description for Image Segmentation and Compression Using Hidden Markov Models
Paperback. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 141 pages, biography. BIC Classification: THR; TTBM; UML; UYT; UYZM. Category: (G) General (US: Trade). Dimension: 235 x 155 x 9. Weight in Grams: 254.
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
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
Paperback
Publication date
2012
Publisher
Springer-Verlag New York Inc. 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
New York, NY, United States
ISBN
9781461370277
SKU
V9781461370277
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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