An Adaptable Threshold Decision Method

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Title:	An Adaptable Threshold Decision Method
Authors:	張定原
Contributors:	資訊管理(學)系
Date:	2010-06
Issue Date:	2013-07-03 14:22:50 (UTC+8)
Publisher:	IJICIC Editorial Office
Abstract:	Otsu's thresholding method (OTM) is one of the most commonly used thresholding methods. Unfortunately, the threshold, obtained, by OTM is biased, in, favor of the class, whose standard deviation, or quantity (number) of data is larger. Besides, one may adopt, distinct, thresholds in different, applications for a same data set. Accordingly, this paper proposes an adaptable threshold, decision method, (ATDM) to provide the most appropriate thresholds for assorted, applications. This paper also proposes a PSO ('particle swarm optimization) based parameters detector (PBPD) to decide the fittest parameters which are used by ATDM. Image segmentation extracts the regions of interest, from an image for follow-up analyses, and thresholding is one important technique for image segmentation. This paper will employ ATDM to detect the object contours in an image in order to investigate the performance of ATDM. The experiments show that ATDM can give impressive segmentation results. © 2010 ISSN.
Relation:	International Journal of Innovative Computing, International Journal of Innovati; 6(6)
Appears in Collections:	[Department of Information Management] 【資訊管理系】期刊論文

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