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Proceedings Paper

A new edge-based interactive image segmentation method
Author(s): Qiang Chen; Quan-sen Sun; De-shen Xia
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Paper Abstract

This paper presents a new edge-based interactive image segmentation method. First an edge image is generated with an edge detector, and then primary object edges can be selected by separating the object and background edges. Finally we obtain the complete object edge by connecting broken object edges. In order to reduce the influence of the noise, image denoising can be done before the edge detecting. Natural and medical image segmentation demonstrates that our method incorporates the advantages of the automatic and manual image segmentation methods. For most of images, a little of manual object edge connection is needed to obtain object edges. It is an effective and feasible interactive image segmentation method.

Paper Details

Date Published: 19 August 2010
PDF: 10 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78201P (19 August 2010); doi: 10.1117/12.866716
Show Author Affiliations
Qiang Chen, Nanjing Univ. of Science and Technology (China)
Quan-sen Sun, Nanjing Univ. of Science and Technology (China)
De-shen Xia, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

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