Image Segmentation and Compression Using Hidden Markov Models: 571 (The Springer International Series in Engineering and Computer Science)

by Robert M. Gray (Author), Jia Li (Author)

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  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).