Universiti Teknologi Malaysia Institutional Repository

Gray level co-occurance matrix computation based on haar wavelet

Mohd. Mokji, Musa and Abu Bakar, Syed Abdul Rahman (2007) Gray level co-occurance matrix computation based on haar wavelet. In: International Conference on Computer Graphic, Imaging, and Visualisation-New Advances, 2007, USM, Malaysia.

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Abstract: In this paper, a new computation for gray level co-occurrence matrix (GLCM) is proposed. The aim is to reduce the computation burden of the original GLCM computation. The proposed computation will be based on Haar wavelet transform. Haar wavelet transform is chosen because the resulting wavelet bands are strongly correlated with the orientation elements in the GLCM computation. The second reason is because the total pixel entries for Haar wavelet transform is always minimum. Thus, the GLCM computation burden can be reduced. The proposed computation is tested with the classification performance of the Brodatz texture images. Although the aim is to achieve at least similar performance with the original GLCM computation, the proposed computation gives a slightly better performance compare to the original GLCM computation.

Item Type:Conference or Workshop Item (Paper)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:24431
Deposited On:18 Apr 2012 05:40
Last Modified:08 Aug 2017 06:10

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