A new method for threshold determination of gray image

Springer Science and Business Media LLC - Tập 6 - Trang 1-13 - 2020
Jiang-Feng Liu1, Xu-Lou Cao1, Jerry Xu2, Qiang-Ling Yao3, Hong-Yang Ni1
1The State Key Laboratory for GeoMechanics and Deep Underground Engineering, and School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China
2Donald Bren School of Information and Computer Sciences, University of California, Irvine, USA
3School of Mines, China University of Mining and Technology, Xuzhou, China

Tóm tắt

The determination of the gray threshold is crucial for the quantitative characterization of digital images. In this study, a new algorithm is proposed to determine the optimal image segmentation threshold. This algorithm is based on a combined analysis of the gray distribution curve and its second differential distribution curve of the digital image. Then, the feasibility and accuracy of the Liu–Cao algorithm are compared with the other 16 algorithms and verified by mercury injection method (MIP) results. Results show that the proposed segmentation threshold algorithm can effectively segment the digital images obtained by various imaging techniques (SEM, CT, FIB/SEM, etc.) and can accurately extract the pore (crack) structures from the image. Image filtering has a certain influence on the gray threshold determination and quantitative characterization, and the impact depends on the quality of the original image. This algorithm can be easily understood and mastered by the researchers and can be widely used in geotechnical and geological areas.

Tài liệu tham khảo

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