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   Vol.E92-D   No.9   pp.1807-1810
Publication Date: 2009/09/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E92.D.1807
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.