Saliency map based active contour method for automatic image segmentation

Changcai Yang; Xinyi Zheng; Shengxiang Qi; Jinwen Tian; Sheng Zheng

doi:10.1117/12.974347

15 October 2012 Saliency map based active contour method for automatic image segmentation

Changcai Yang, Xinyi Zheng, Shengxiang Qi, Jinwen Tian, Sheng Zheng

Proceedings Volume 8420, 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical System Technologies for Manufacturing and Testing; 84201I (2012) https://doi.org/10.1117/12.974347
Event: 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT 2012), 2012, Xiamen, China

Abstract

In this paper, we present a novel automatic image segmentation method, which combines the active contour method and the saliency map method. The saliency map which is obtained by inversing the spectral residual of the image brings a priori knowledge to bear on the image segmentation. The initial level set function is constructed from saliency map. In this way, an automatic initialization of the level set evolution can be obtained. This method can minimize the iterations of the level set evolution. The efficiency and accuracy of the method are demonstrated by the experiments on the synthetic and real images.

Citation Download Citation

Changcai Yang, Xinyi Zheng, Shengxiang Qi, Jinwen Tian, and Sheng Zheng "Saliency map based active contour method for automatic image segmentation", Proc. SPIE 8420, 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical System Technologies for Manufacturing and Testing, 84201I (15 October 2012); https://doi.org/10.1117/12.974347

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KEYWORDS

Image segmentation

Fourier transforms

Image processing

Statistical modeling

Machine vision

Optical filters

Optics manufacturing

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