引用本文: 陈炳文, 王文伟, 梅天灿, 秦前清. 利用比例分解和嵌套窗口进行彩色图像边缘提取[J]. 武汉大学学报 ( 信息科学版), 2011, 36(6): 695-698.
CHEN Bingwen, WANG Wenwei, MEI Tiancan, QIN Qianqing. Color Edge Detection Based on Proportion Decomposition and Nested Windows[J]. Geomatics and Information Science of Wuhan University, 2011, 36(6): 695-698.
 Citation: CHEN Bingwen, WANG Wenwei, MEI Tiancan, QIN Qianqing. Color Edge Detection Based on Proportion Decomposition and Nested Windows[J]. Geomatics and Information Science of Wuhan University, 2011, 36(6): 695-698.

## Color Edge Detection Based on Proportion Decomposition and Nested Windows

• 摘要: 首先,从信息量的角度出发,提出了一种比例分解算法,即依据人类视觉模型中灰度边缘与色度边缘的比例关系,利用主成分分析技术将彩色图像分解为一系列分量子图;接着,利用嵌套窗口提取多尺度灰度边缘,采用矢量模板提取色度边缘;最后,融合各分量边缘并细化得到彩色图像边缘。实验结果表明,该算法能有效结合色度与亮度信息,抗噪性好,且能进行多尺度边缘分析。

Abstract: A color edge detection approach based on proportion decomposition and nested windows is presented.At first,from information point of view,the proportion decomposition algorithm was presented.We used the principal component analysis algorithm to decompose the color picture,with reference to the human vision system.Then the nested windows were used to detect the multi-scale edge,and the vector templates were used to detect the hue edge.Finally,each component edge was fused and thinned to obtain the color edge.Experiments have been carried out and the results show that the proposed approach can fuse the brightness component and the hue component effectively.The method also can deal with the noise,and can be used to analyze the multi-scale edge.

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