ITE Technical Report
Online ISSN : 2424-1970
Print ISSN : 1342-6893
ISSN-L : 1342-6893
24.80
Session ID : BCS2000-120/BFO2000-
Conference information
COMPARATIVE STUDY OF TEXTURE SEGMENTATION USING GABOR FILTER AND CO-OCCURRENCE MATRIX
Tawee KusumawaleePornphan DulyakarnYuttapong Rangsanseri
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

Texture feature extraction and segmentation can be considered in many methods. This work presents the methods of extracting texture features from Gabor filter and gray-level co-occurrence matrix. The both methods are compared by considering with many texture images. From this experiment, we showed that texture features derived from Gabor filter provides better results than those derived from gray-level co-occurrence matrix for all tested images.

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© 2000 The Institute of Image Information and Television Engineers
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