A contour based image segmentation algorithm using morphological edge detection

doi:10.1109/ICSMC.2005.1571600

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 期刊論文 > Item 987654321/60881

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题名:	A contour based image segmentation algorithm using morphological edge detection
作者:	Hsiao, Ying-tung;Chuang, Cheng-long;Jiang, Joe-air;Chien, Cheng-chih
贡献者:	淡江大學電機工程學系
关键词:	Image segmentation;Image edge detection;Partitioning algorithms;Detectors;Morphology;Computer vision;Video coding;Morphological operations;Boundary conditions;Image coding
日期:	2005-10
上传时间:	2011-10-15 01:01:50 (UTC+8)
出版者:	IEEE
摘要:	In this paper, a novel approach for edge-based image segmentation is proposed. Image segmentation and object extraction play an important role in supporting content-based image coding, indexing, and retrieval. However, it’s always a tough task to partition an object in a graph-based image. We proposed an image segmentation algorithm by integrating mathematical morphological edge detector with region growing technique. The images are first enhanced by morphological closing operations, and then detect the edge of the image by morphological dilation residue edge detector. Moreover, we deploy rowing seeds into the edge image that obtained by the edge detection procedure. By cross comparing the growing result and the detected edges, the partition lines of the image are generated. In this paper, we presented the theoretical backgrounds and procedure illustrations of the proposed algorithm. Furthermore, the proposed algorithm is implemented in C++ language and evaluate on several images with promising results.
關聯:	Systems, Man and Cybernetics, 2005 IEEE International Conference on 3, pp.2962-2967
DOI:	10.1109/ICSMC.2005.1571600
显示于类别:	[電機工程學系暨研究所] 期刊論文

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