A new interactive algorithm for image segmentation

Haiying Zhao; Changping Sun; Hong Chen

doi:10.1117/12.2229465

8 December 2015 A new interactive algorithm for image segmentation

Haiying Zhao, Changping Sun, Hong Chen

Proceedings Volume 9875, Eighth International Conference on Machine Vision (ICMV 2015); 98750C (2015) https://doi.org/10.1117/12.2229465
Event: Eighth International Conference on Machine Vision, 2015, Barcelona, Spain

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.

Citation Download Citation

Haiying Zhao, Changping Sun, and Hong Chen "A new interactive algorithm for image segmentation", Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98750C (8 December 2015); https://doi.org/10.1117/12.2229465

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KEYWORDS

Image segmentation

Image processing algorithms and systems

Evolutionary algorithms

Computer simulations

Image processing

Electrical engineering

Feature extraction

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