Constructing simple stable descriptions for image partitioning

作者:Yvan G. Leclerc

摘要

A new formulation of the image partitioning problem is presented: construct a complete and stable description of an image-in terms of a specified descriptive language-that is simplest in the sense of being shortest. We show that a descriptive language limited to a low-order polynomial description of the intensity variation within each region and a chain-code-like description of the region boundaries yields intuitively satisfying partitions for a wide class of images.

论文关键词:Computer Vision, Computer Image, Superior Performance, Intensity Variation, Wide Class

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论文官网地址:https://doi.org/10.1007/BF00054839