Adaptive windowed range-constrained Otsu method using local information

Jia Zheng; Dinghua Zhang; Kuidong Huang; Yuanxi Sun; Shaojie Tang

doi:10.1117/1.JEI.25.1.013034

19 February 2016 Adaptive windowed range-constrained Otsu method using local information

Jia Zheng, Dinghua Zhang, Kuidong Huang, Yuanxi Sun, Shaojie Tang

Author Affiliations +

Funded by: Ministry of Industry and Information Technology of China, Aeronautical Science Fund of China, Fundamental Research Funds for the Central Universities of China, Key Lab of Contemporary Design and Integrated Manufacturing Technology of Northwestern Polytechnical University, China, Department of Education Shaanxi Province, China

Journal of Electronic Imaging, Vol. 25, Issue 1, 013034 (February 2016). https://doi.org/10.1117/1.JEI.25.1.013034

Abstract

An adaptive windowed range-constrained Otsu method using local information is proposed for improving the performance of image segmentation. First, the reason why traditional thresholding methods do not perform well in the segmentation of complicated images is analyzed. Therein, the influences of global and local thresholdings on the image segmentation are compared. Second, two methods that can adaptively change the size of the local window according to local information are proposed by us. The characteristics of the proposed methods are analyzed. Thereby, the information on the number of edge pixels in the local window of the binarized variance image is employed to adaptively change the local window size. Finally, the superiority of the proposed method over other methods such as the range-constrained Otsu, the active contour model, the double Otsu, the Bradley’s, and the distance-regularized level set evolution is demonstrated. It is validated by the experiments that the proposed method can keep more details and acquire much more satisfying area overlap measure as compared with the other conventional methods.

Citation Download Citation

Jia Zheng, Dinghua Zhang, Kuidong Huang, Yuanxi Sun, and Shaojie Tang "Adaptive windowed range-constrained Otsu method using local information," Journal of Electronic Imaging 25(1), 013034 (19 February 2016). https://doi.org/10.1117/1.JEI.25.1.013034

Published: 19 February 2016

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