The segmentation of 3-D image and space Markov cubic mesh models

Three-dimensional (3-D) Markov cubic random mesh models are presented, and the modeling and algorithms for segmentation of 3-D images are studied. The results stated for the space Markov cubic mesh models are proved in detail in the form of two theorems. It is noted that the models presented are suitable not only for 3-D image segmentation, modeling, and classification but for other types of processing as well. As an example, the modeling of 3-D images and an application to image segmentation are discussed.<
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