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dc.contributor.authorBelkasim, S.
dc.contributor.authorGhazal, A.
dc.contributor.authorBasir, O.
dc.date.accessioned2009-06-02T06:20:48Z
dc.date.accessioned2020-05-25T06:36:46Z-
dc.date.available2009-06-02T06:20:48Z
dc.date.available2020-05-25T06:36:46Z-
dc.date.issued2006-11-17T05:55:41Z
dc.date.submitted2000-12-08
dc.identifier.urihttp://dspace.lib.fcu.edu.tw/handle/2377/3246-
dc.description.abstractThe thresholding process has been widely used to segment one or several objects from their background. The automatic thresholding requires that, the image formation be of two well-segmented homogeneous regions, and there exists a threshold value that separates these regions. The separation deteriorates when the objects are not homogenously illuminated. In this paper a new algorithm is proposed for the optimum automatic thresholding of digital images in the presence of non-homogenous illumination. The algorithm is based on determining an optimum threshold value that maximizes an edge similarity function of the binary and the original gray level images. Experimental results to compare the proposed algorithm to the various thresholding techniques are also presented.
dc.description.sponsorship中正大學,嘉義縣
dc.format.extent8p.
dc.format.extent140299 bytes
dc.format.mimetypeapplication/pdf
dc.language.isozh_TW
dc.relation.ispartofseries2000 ICS會議
dc.subject.otherImage Processing
dc.titleEdge Enhanced Optimum Automatic Thresholding
分類:2000年 ICS 國際計算機會議

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