Fuzzy Mode Enhancement and Detection for Color Image Segmentation

被引：4

作者：

Losson, Olivier ^{[1
]}

Botte-Lecocq, Claudine ^{[1
]}

Macaire, Ludovic ^{[1
]}

机构：

[1] Univ Sci & Technol Lille, Lab LAGIS, CNRS UMR 8146, F-59655 Villeneuve Dascq, France

来源：

EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING | 2008年 / 2008卷 / 1期

关键词：

D O I：

10.1155/2008/542378

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This work lies within the scope of color image segmentation by pixel classification. The classes of pixels are constructed by detecting the modes of the spatial-color compactness function, which characterizes the image by taking into account both the distribution of colors in the color space and their spatial location in the image plane. A fuzzy transformation of this function is performed, based on fuzzy morphological operators specifically designed for mode detection. Experimental segmentation results, using several synthetic and benchmark images, show the interest of the proposed method. Copyright (C) 2008 Olivier Losson et al.

引用

页数：19

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