Fuzzy c-means clustering based on spatial neighborhood information for image segmentation

来源 :系统工程与电子技术：英文版 | 被引量 : 0次 | 上传用户：li452546674

【摘要】

：

Fuzzy c-means(FCM) algorithm is one of the most popular methods for image segmentation.However,the standard FCM algorithm is sensitive to noise because of not t

【作者】

：

Yanling Li Yi Shen

【机构】

：

InstituteofSystemsEngineering,CollegeofComputerandInformationTechnology

【出处】

：

系统工程与电子技术：英文版

【发表日期】

：

2010年2期

【关键词】

：

图像分割方法邻域信息均值聚类空间信息模糊 FCM算法抗噪性能空间聚类 image segmentation fuzzy c-means spat

【基金项目】

：

This work was supported by the National Natural Science Foundation of China （60874031, 60740430664）.

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Fuzzy c-means(FCM) algorithm is one of the most popular methods for image segmentation.However,the standard FCM algorithm is sensitive to noise because of not taking into account the spatial information in the image.An improved FCM algorithm is proposed t

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Fuzzy c-means clustering based on spatial neighborhood information for image segmentation

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