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Proceedings Paper

Image bilevel thresholding based on multiscale gradient multiplication
Author(s): Yaobin Zou
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Paper Abstract

This paper introduces a novel global thresholding approach that exploits the product of gradient magnitude (PGM). The PGM of an image is obtained by multiplying the responses of the first derivative of Gaussian (FDoG) filter at three adjacent space scales. The output threshold is selected as the one that maximizes a new objective function of the gray level variable t . The objective function is defined as the ratio of the mean PGM values of the boundary and nonboundary regions in the binary image obtained by thresholding with variable t . Through analysis of 35 real images from different application areas, our results show that the proposed method can perform bilevel thresholding on the images with different histogram patterns, including unimodal, bimodal, multimodal, or comb-like shape. Its segmentation quality is superior to five popular thresholding algorithms.

Paper Details

Date Published: 2 June 2012
PDF: 6 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83340O (2 June 2012); doi: 10.1117/12.946054
Show Author Affiliations
Yaobin Zou, China Three Gorges Univ. (China)


Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

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