A Strategic Approach for 2D Texture Analysis using DTCWT, SWT and GLCM
DOI:
https://doi.org/10.46243/jst.2022.v7.i02.pp195-209Keywords:
Principal Component Analysis, Stationary Wavelet Transform, Dual Tree Complex Wavelet Transform, Gray-Level Co-Occurrence Matrix, Feature Extraction, Texture AnalysisAbstract
Nowadays, 2D imaging techniques have gone through several stages of development in 2D sensor technologies. This probes greater interest in the 2D image feature extraction and classification techniques. One of the
main features of 2D image are texture content which is very enthusiastic to study. The proposed strategy is to extract
and analyse of texture content of 2D image. In this strategy Dual Tree Complex Wavelet Transform (DTCWT) and Stationary Wavelet Transform (SWT) with Principal Component Analysis (PCA) is implemented to extract the features of the 2D images especially texture content for further analysis. The texture content is analysed with Gray-Level Co- Occurrence Matrix (GLCM) based method which increase the precision of the data obtained which causes better result.
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