Hierarchical Multiple Markov Chain Model for Unsupervised Texture Segmentation
نویسندگان
چکیده
منابع مشابه
Efficient Texture Segmentation by Hierarchical Multiple Markov Chain Model
A novel multiscale texture model and a related algorithm for the unsupervised segmentation of medical images to locate tumors are proposed in this project. Elementary textures are characterized by their spatial interactions with neighboring regions along selected directions. Such interactions are modeled, in turn, by means of a set of Markov chains, one for each direction, whose parameters are ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 2009
ISSN: 1057-7149,1941-0042
DOI: 10.1109/tip.2009.2020534