Tell your friends about this item:
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
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | October 3, 2012 |
| ISBN13 | 9781461370277 |
| Publishers | Springer-Verlag New York Inc. |
| Pages | 141 |
| Dimensions | 155 × 235 × 9 mm · 231 g |
| Language | English |
Christmas presents can be returned until 31 January