The Design of System to Texture Feature Analysis Based on Gray Level Co-Occurrence Matrix

Li Yuan Liu; Xiu Juan Fan

doi:10.4028/www.scientific.net/AMM.727-728.904

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 727-728The Design of System to Texture Feature Analysis...

The Design of System to Texture Feature Analysis Based on Gray Level Co-Occurrence Matrix

Abstract:

The characteristic value of gray level co-occurrence matrix to extract can well express the information of texture. Co-occurrence matrix provides the information of image grayscale, interval and change. According to the co-occurrence matrix, it can calculate the corresponding characteristic values of eigenvalue, which can express the texture information of the image. This is thesis designed extraction software a for textile fabric texture feature, and the internal principle is the using of gray level co-occurrence matrix and Matlab programming.

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Periodical:

Applied Mechanics and Materials (Volumes 727-728)

Pages:

904-907

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.727-728.904

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Online since:

January 2015

Authors:

Li Yuan Liu, Xiu Juan Fan

Keywords:

Eigenvalue, Gray Level Co-Occurrence Matrix, MATLAB, Statistics

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References

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