A Novel Histogram-Based Fuzzy Clustering Method for Multispectral Image Segmentation
作者: Guoying LiuHongyu ZhouJing Lv
刊名: Journal of Electronics and Information Science, 2017, Vol.2 (2)
来源数据库: Clausius Scientific Press
DOI: 10.23977/jeis.2017.22012
关键词: Fuzzy C-MeansImage segmentationMultispectral imageHistogram.
原始语种摘要: Fuzzy C-Means (FCM) clustering has been widely used in remote sensing and computer vision. However, when dealing with multispectral images, the conventional FCM regards spectral responses of all bands on each pixel as a feature vector and conducts image clustering by searching cluster centers in a multi-dimensional space. It is rather time-consuming due to the fact that it has to visit each pixel many rounds during the iteration procedure. Besides, it is sensitive to noise, which mainly results from its ignorance spatial information. In order to overcome these problems, a novel histogram-based fuzzy clustering method is presented in this paper. The proposed method clusters each band independently and fuses the results to form the final segmentation map. On each band, a spatial-spectral...
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  • multispectral 多重谱的
  • histogram 倾率分布图
  • segmentation 分段
  • clustering 聚类
  • image 
  • pixel 像素
  • consuming 耗的
  • FCM File Compare Mask
  • procedure 手续
  • vision 视力