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Proceedings Paper

A new interactive algorithm for image segmentation
Author(s): Haiying Zhao; Changping Sun; Hong Chen
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Paper Abstract

In this paper, a new interactive algorithm for image segmentation is proposed. First, threshold segmentation is applied to the original image, and the corresponding foreground image and background image are obtained. In the foreground image, some manually selected contour pixel points of the pattern to be segmented will become the initial seed points. The set composed of seed points is defined as set E. Then, the distances between each pixel point in foreground image and each seed point in set E are computed. If the minimum distance is less than the threshold, the pixel point with minimum distance is labeled as seed point, and added to the set E. Until all the pixel points in the foreground image have been labeled, the seed points in the final set E compose the segmentation image. At last, the effectiveness of the proposed algorithm is proved by a simulation.

Paper Details

Date Published: 8 December 2015
PDF: 5 pages
Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98750C (8 December 2015); doi: 10.1117/12.2229465
Show Author Affiliations
Haiying Zhao, Beijing Univ. of Posts and Telecommunications (China)
Changping Sun, Tianjin Univ. of Technology (China)
Hong Chen, Beijing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 9875:
Eighth International Conference on Machine Vision (ICMV 2015)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev, Editor(s)

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