An Image Segmentation and Its Algorithm Based on Fuzzy Connectedness
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    Abstract:

    In this paper, a modification to the fuzzy connectedness image segmentation is presented. Through checking the property affinity between the seed pixel and the pixel along the optimal path which has the largest fuzzy connectedness from the pixel to seed pixel, good results can be achieved, especially for those objects with blurred boundary. Additionally, an image-scanning mechanism algorithm for detecting optimal paths is proposed to calculate the fuzzy connectedness between pixels and the seed pixel one by one. This algorithm can make full use of the properties of fuzzy connectedness and property affinity, and detect the optimal path between two pixels effectively. Experimental examples show that the new method is simple, fast, and works well for some images.

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潘建江,杨勋年,汪国昭.基于模糊连接度的图像分割及算法.软件学报,2005,16(1):67-76

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History
  • Received:September 29,2003
  • Revised:December 08,2003
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