TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Entropic Image Thresholding Segmentation Based on Gabor Histogram |
| 영문제목(English Title) |
Entropic Image Thresholding Segmentation Based on Gabor Histogram |
| 저자(Author) |
Sanli Yi
Guifang Zhang
Jianfeng He
Lirong Tong
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| 원문수록처(Citation) |
VOL 13 NO. 04 PP. 2113 ~ 2128 (2019. 04) |
한글내용
(Korean Abstract) |
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영문내용
(English 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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| 키워드(Keyword) |
Image thresholding
Gabor histogram
spatial information
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| 파일첨부 |
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