On Threshold Selection Using Fuzzy Risk Criterion

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概要

• 論文の詳細を見る

• A parametric and unsupervised method of automatic threshold selection for image segmentation is presented. An optimal threshold is selected by the fuzzy risk criterion, namely, so as to separate a given picture into meaningful gray level classes under the assumption of object and pixel gray level values being normally distributed. The effectiveness of the pro-posed approach is illustrated using some experimental images with 256 gray-levels, and the results are compared with minimum error thresholding method using the criterion functions such as uniformity, shape, and edge measures.

• 社団法人応用物理学会の論文
• 1992-05-15

著者

• Fang Ning

  Department Of System Engineering Chung Cheng Institude Of Technology

• Fang Ning

  Department Of Mechanical And Aerospace Engineering Utah State University

• CHENG Ming-Chieh

  Chung-Shan Institute of Science and Technology

関連論文

• On Threshold Selection Using Fuzzy Risk Criterion
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