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一种改进的自适应模糊阈值图象分割方法 被引量:8

An Improved Approach for Adaptive Segmentation Threshold Based on Fuzzy Index
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摘要 自适应模糊阈值图象分割方法的关键和困难在于隶属函数窗宽的自动调整和阈值搜索范围的确定 依靠图象灰度的统计特性初步确定阈值搜索范围 ,提出了一种改进方法 ,进而得到隶属函数的窗宽 实验表明这种方法避免了确定图象灰度直方图峰位置的困难 。 It is known that the key and the difficult for an adaptive segmentation approach with a threshold based on fuzziness index lies in both a searching zone for the threshold and a self-adjusting width of the subjection function. An improved approach is presented, which obtains the searching zone from the statistic characteristic of the gray disturbing, and then determines the window width of subjection function. It is indicated that this method can avoid the difficult of peak-seeking in the gray histogram, and achieves an good performance for low illumination image.
出处 《光子学报》 EI CAS CSCD 北大核心 2003年第5期605-607,共3页 Acta Photonica Sinica
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  • 1金立左,夏良正,杨世周.图象分割的自适应模糊阈值法[J].中国图象图形学报(A辑),2000,5(5):390-395. 被引量:30
  • 2Pal S K, King R A, Hashim A A. Automatic graylevel thresholding through index d fuzziness and entropy. Pattern Recognition Letter, 1983,1 : 141 - 146.
  • 3Murthy C A,Pal S K. Histogram thresholding by minimizing graylevel fuzziness. Information Sceices, 1992,60: 107 ~ 135.
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  • 5Murthy C A,Pal S K. Fuzzy thresholding: mathematic frame work, bound functions and weighted moving average technique. Paaern Recognition Letter, 1990,11 : 197 ~ 206.

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