• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Entropic Image Thresholding Segmentation Based on Gabor Histogram

Vol. 13, No. 4, April 29, 2019
10.3837/tiis.2019.04.021, Download Paper (Free):

Abstract

Image thresholding techniques introducing spatial information are widely used image segmentation. Some methods are used to calculate the optimal threshold by building a specific histogram with different parameters, such as gray value of pixel, average gray value and gradient-magnitude, etc. However, these methods still have some limitations. In this paper, an entropic thresholding method based on Gabor histogram (a new 2D histogram constructed by using Gabor filter) is applied to image segmentation, which can distinguish foreground/background, edge and noise of image effectively. Comparing with some methods, including 2D-KSW, GLSC-KSW, 2D-D-KSW and GLGM-KSW, the proposed method, tested on 10 realistic images for segmentation, presents a higher effectiveness and robustness.


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Cite this article

[IEEE Style]
S. Yi, G. Zhang, J. He and L. Tong, "Entropic Image Thresholding Segmentation Based on Gabor Histogram," KSII Transactions on Internet and Information Systems, vol. 13, no. 4, pp. 2113-2128, 2019. DOI: 10.3837/tiis.2019.04.021.

[ACM Style]
Sanli Yi, Guifang Zhang, Jianfeng He, and Lirong Tong. 2019. Entropic Image Thresholding Segmentation Based on Gabor Histogram. KSII Transactions on Internet and Information Systems, 13, 4, (2019), 2113-2128. DOI: 10.3837/tiis.2019.04.021.

[BibTeX Style]
@article{tiis:22079, title="Entropic Image Thresholding Segmentation Based on Gabor Histogram", author="Sanli Yi and Guifang Zhang and Jianfeng He and Lirong Tong and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2019.04.021}, volume={13}, number={4}, year="2019", month={April}, pages={2113-2128}}