Automatic thresholding based on human visual perception

Tseng Din-Chang, Huang Mao-Yu

研究成果: 雜誌貢獻期刊論文同行評審

10 引文 斯高帕斯(Scopus)


An automatic thresholding method based on aspects of the human visual system which preserved edge structure in images is proposed. We first determine edge thresholds based on human visual perception, and then use these edge thresholds to find several edge intervals. From these edge intervals, we find the threshold value(s) at which most edge information is preserved in the thresholded image. A bilevel thresholding algorithm is first described, and then two multilevel thresholding algorithms called Nm-multilevel thresholding and mN-multistep thresholding are derived through a slight modification of the bilevel thresholding algorithm. The multistcp thresholding algorithm directly uses bilevel thresholding sequentially to select m threshold values one by one so as to speed up the thresholding process. The proposed thresholding method is simple, requiring neither an iterative operation nor edge detection.

頁(從 - 到)539-548
期刊Image and Vision Computing
出版狀態已出版 - 11月 1993


深入研究「Automatic thresholding based on human visual perception」主題。共同形成了獨特的指紋。