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Image Segmentation and Compression Using Hidden Markov Models - The Springer International Series in Engineering and Computer Science Softcover reprint of the original 1st ed. 2000 edition
Jia Li
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Image Segmentation and Compression Using Hidden Markov Models - The Springer International Series in Engineering and Computer Science Softcover reprint of the original 1st ed. 2000 edition
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 | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 3. oktober 2012 |
| ISBN13 | 9781461370277 |
| Utgivere | Springer-Verlag New York Inc. |
| Antall sider | 141 |
| Mål | 155 × 235 × 9 mm · 231 g |
| Språk | Engelsk |
![Cover for Jia Li · Visual Saliency Computation: A Machine Learning Perspective - Image Processing, Computer Vision, Pattern Recognition, and Graphics (Pocketbok) [2014 edition] (2014)](https://imusic.b-cdn.net/images/item/original/418/9783319056418.jpg?jia-li-2014-visual-saliency-computation-a-machine-learning-perspective-image-processing-computer-vision-pattern-recognition-and-graphics-pocketbok&class=scaled&v=1400323163)