Entropic Image Thresholding Segmentation Based on Gabor Histogram

• Sanli Yi,
• Guifang Zhang,
• Jianfeng He,
• Lirong Tong,

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

• Image thresholding
• Gabor histogram
• spatial information

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.

Statistics

Cite this article