Paper Info
Title
Adaptive Thresholding Based on Co-occurrence Matrix Edge Information
Abstract
In this paper, an adaptive thresholding technique based on gray level co-occurrence matrix (GLCM) is presented to handle images with fuzzy boundaries. As GLCM contains information on the distribution of gray level transition frequency and edge information, it is very useful for the computation of threshold value. Here the algorithm is designed to have flexibility on the edge definition so that it can handle the object's fuzzy boundaries. By manipulating information in the GLCM, a statistical feature is derived to act as the threshold value for the image segmentation process. The proposed method is tested with the starfruit defect images. To demonstrate the ability of the proposed method, experimental results are compared with three other thresholding techniques
Year
DOI
Venue
2007
10.1109/AMS.2007.8
Asia International Conference on Modelling and Simulation
Keywords
DocType
Volume
fuzzy set theory,fuzzy boundary,gray level transition frequency,adaptive thresholding technique,statistical analysis,statistical feature,image segmentation,matrix algebra,index terms—co-occurrence matrix,adaptive thresholding,co-occurrence matrix edge information,edge definition,gray level co-occurrence matrix,gray level cooccurrence matrix,edge information,thresholding,entropy,fuzzy boundaries,threshold value,edge magnitude,image colour analysis,thresholding technique,co occurrence matrix
Conference
2
Issue
ISBN
Citations 
8
0-7695-2845-7
4
PageRank 
References 
Authors
0.42
16
2
Name
Order
Citations
PageRank
M. M. Mokji1142.36
S. A. R. Abu-Bakar2799.67