JOURNAL OF COMPUTERS (JCP)
ISSN : 1796-203X
Volume : 2    Issue : 8    Date : October 2007

Adaptive Thresholding Based On Co-Occurrence Matrix Edge Information
Musa Mohd Mokji and S.A.R. Abu Bakar
Page(s): 44-52
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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.

Index Terms
Co-occurrence matrix, entropy, thresholding, edge magnitude