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中文摘要：
分析自适应FCM图像分割算法的优缺点,提出了改进的自适应模糊C均值聚类算法.利用像素的空间邻域信息构造二维直方图,作为自适应FCM的聚类样本,降低了样本空间的维数,解决了自适应FCM收敛速度慢,对噪声敏感等问题.通过与自适应FCM算法对含噪图像的分割结果以及分割速度,性能的对比分析,证明该算法收敛速度快,分割精度高,对噪声有较强的鲁棒性.
英文摘要：
Based on the analysis of advantages and disadvantages of the self-adaptive FCM image segmentation algorithm,an improved self-adaptive fuzzy C-means clustering algorithm is proposed.By construct a two-dimension histogram with pixel neighborhood space information,as a cluster sample for self-adaptive FCM,the dimension of sample space is reduced,and then,the problem of self-adaptive FCM on low rate of convergence and sensitive to noise is solved.At last,the improved algorithm is improved to have higher rate of convergence,higher accuracy of separation,and more robustness to noise,by contrast to self-adaptive FCM algorithm on image segmentation to a noise contained image.
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Non-uniformity emendation technique for amorphous silicon flat-panel detectors used for industrial X
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