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Threshold Selection Based on Interval-Valued Fuzzy Sets
Chang Sik SON Suk Tae SEO In Keun LEE Hye Cheun JEONG Soon Hak KWON
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2009/09/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Recognition, Computer Vision
threshold selection, interval-valued fuzzy sets,
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We propose a thresholding method based on interval-valued fuzzy sets which are used to define the grade of a gray level belonging to one of the two classes, an object and the background of an image. The effectiveness of the proposed method is demonstrated by comparing our classification results on eight test images to results from the conventional methods.