Texture Image Segmentation Based on Quotient Space Granularity Synthesis

摘要

Theory of quotient space has been a potential direction of artificial intelligence in recent years. In this paper the granularity synthesis method of quotient space is applied to analyze and processing of texture images and a new image segmentation algorithm of image segmentation is given. Firstly texture features of coarseness and directionality are extracted to form the different granularity spaces respectively. Then the quotient space synthesis method is adopted to segment the texture image. Experimental results demonstrate that the algorithm of granularity synthesis is useful and valid. Furthermore he paper analyzes the relations between synthesis technology and image fusion, and generalizes some key questions when using quotient space granularity synthesis in image segmentation.