直方图加权的FCM聚类算法研究
首发时间:2015-09-24
摘要:提出了一种基于灰度直方图加权的FCM聚类算法,针对静态输入图像,首先采用基于灰度直方图阈值分割的方法实现图像分割,为算法的实现提供可行性依据;其次研究基于像素点的FCM聚类方法的图像分割;最后将传统的FCM聚类算法进行改进,用图像的灰度直方图加权代替图像像素点进行FCM聚类分析,并将其应用到图像分割中,获得最终的图像分割效果。从实验结果可以看出,论文算法获得了较好的分割结果,算法简单、易于实现。
关键词: 图像分割;灰度直方图加权 阈值分割 FCM聚类
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Realization Of FCM Cluster Based On Histogram Weighted
Abstract:This paper proposed a histogram weighted FCM clustering algorithm. Based on gray-level histogram, the proposed methods firstly segments input image with threshold. Further, we use FCM clustering analysis theory to segment input image. In addition, we improved traditional FCM clustering analysis method, and using weighted gray-level histogram technique to the FCM clustering analysis. The algorithm obtains final image segmentation effects based on this weighted gray-level histogram. Experimental results show that our proposed methods obtain better segmentation results, and the algorithm is simple and effective.
Keywords: Image segmentation, Gray-level histogram weighted, Threshold segmentation, FCM cluster
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No.4654739870724144****
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