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An improvement in the moment‐preserving thresholding method
Author(s) -
Chen IPing,
Lai MingYi,
Wang LingLing
Publication year - 2008
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.20169
Subject(s) - thresholding , balanced histogram thresholding , histogram , moment (physics) , artificial intelligence , computer science , segmentation , variation (astronomy) , pattern recognition (psychology) , simple (philosophy) , image (mathematics) , histogram matching , computer vision , mathematics , physics , philosophy , epistemology , classical mechanics , astrophysics
Thresholding is frequently used for image segmentation. One of the most popular approach to thresholding is the moment‐preserving thresholding method proposed by Tsai in 1985. However, it does not work well when the peaks of a histogram have a great size variation. Hence, in this study we propose a simple and effective improvement in Tsai's method such that suitable thresholds can be found even when the histogram has peaks with a great size variation. Experimental results show the effectiveness of the proposed improvement. © 2008 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 18, 365–370, 2008