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题名:
color image segmentation using automatic pixel classification with support vector machine
作者: Wang Xiang-Yang ; Wang Qin-Yan ; Yang Hong-Ying ; Bu Juan
会议文集: Neurocomputing
出版日期: 2011
关键词: Behavioral research ; Color ; Computer vision ; Pixels ; Sensitivity analysis ; Support vector machines ; Textures
收录类别: ei
ISSN: 9252312
部门归属: (1) School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, China; (2) State Key Laboratory of Information Security, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China
英文摘要: Automatic segmentation of images is a very challenging fundamental task in computer vision and one of the most crucial steps toward image understanding. In this paper, we present a color image segmentation using automatic pixel classification with support vector machine (SVM). First, the pixel-level color feature is extracted in consideration of human visual sensitivity for color pattern variations, and the image pixel's texture feature is represented via steerable filter. Both the pixel-level color feature and texture feature are used as input of SVM model (classifier). Then, the SVM model (classifier) is trained by using fuzzy c-means clustering (FCM) with the extracted pixel-level features. Finally, the color image is segmented with the trained SVM model (classifier). This image segmentation not only can fully take advantage of the local information of color image, but also the ability of SVM classifier. Experimental evidence shows that the proposed method has a very effective segmentation results and computational behavior, and decreases the time and increases the quality of color image segmentation in compare with the state-of-the-art segmentation methods recently proposed in the literature. © 2011 Elsevier B.V. All rights reserved.
语种: 英语
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内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/14343
Appears in Collections:信息安全国家重点实验室_会议论文

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Wang Xiang-Yang,Wang Qin-Yan,Yang Hong-Ying,et al. color image segmentation using automatic pixel classification with support vector machine[C]. 见:.
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