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Image Segmentation and Compression Using Hidden Markov Models - The Springer International Series in Engineering and Computer Science Jia Li Softcover reprint of the original 1st ed. 2000 edition
Image Segmentation and Compression Using Hidden Markov Models - The Springer International Series in Engineering and Computer Science
Jia Li
Conventional block-based segmentation algorithms classify each block separately, assuming independence of feature vectors. Image Segmentation and Compression Using Hidden Markov Models presents a new algorithm that models the statistical dependence among image blocks by two dimensional hidden Markov models (HMMs).
141 pages, biography
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| Validé | 3 octobre 2012 |
| ISBN13 | 9781461370277 |
| Éditeurs | Springer-Verlag New York Inc. |
| Pages | 141 |
| Dimensions | 155 × 235 × 9 mm · 231 g |
| Langue et grammaire | Anglais |
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