Plausibility-Based Approach to Image Thresholding

Suk Tae SEO  Hye Cheun JEONG  In Keun LEE  Chang Sik SON  Soon Hak KWON  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E92-D   No.10   pp.2167-2170
Publication Date: 2009/10/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E92.D.2167
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Processing and Video Processing
Keyword: 
image thresholding,  plausibility,  co-occurrence matrix,  category utility,  

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Summary: 
An approach to image thresholding based on the plausibility of object and background regions by adopting a co-occurrence matrix and category utility is presented. The effectiveness of the proposed method is shown through the experimental results tested on several images and compared with conventional methods.