Cite this DOI

C. Rama Mohan, C. R. M. (2022). A Strategic Approach for 2D Texture Analysis using DTCWT, SWT and GLCM. *Journal of Science & Technology*, *7*(2), 195–209. https://doi.org/10.46243/jst.2022.v7.i02.pp195-209

@article{cramamohan2022strategic,
  author    = {C. Rama Mohan, C. Rama Mohan},
  title     = {{A Strategic Approach for 2D Texture Analysis using DTCWT, SWT and GLCM}},
  journal   = {Journal of Science \& Technology},
  year      = {2022},
  month     = {jul},
  volume    = {7},
  number    = {2},
  pages     = {195--209},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2022.v7.i02.pp195-209},
  url       = {https://doi.org/10.46243/jst.2022.v7.i02.pp195-209},
  language  = {en},
  abstract  = {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 CoOccurrence Matrix (GLCM) based method which increase the precision of the data obtained which causes better result}
}

TY  - JOUR
TI  - A Strategic Approach for 2D Texture Analysis using DTCWT, SWT and GLCM
AU  - C. Rama Mohan, C. Rama Mohan
JO  - Journal of Science & Technology
PY  - 2022
DA  - 2022/07/03/
VL  - 7
IS  - 2
SP  - 195
EP  - 209
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - 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 CoOccurrence Matrix (GLCM) based method which increase the precision of the data obtained which causes better result
DO  - 10.46243/jst.2022.v7.i02.pp195-209
UR  - https://doi.org/10.46243/jst.2022.v7.i02.pp195-209
ER  -

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    "DOI": "10.46243/jst.2022.v7.i02.pp195-209",
    "URL": "https://doi.org/10.46243/jst.2022.v7.i02.pp195-209",
    "title": "A Strategic Approach for 2D Texture Analysis using DTCWT, SWT and GLCM",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
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            "family": "C. Rama Mohan",
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    "volume": "7",
    "issue": "2",
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    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "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 CoOccurrence Matrix (GLCM) based method which increase the precision of the data obtained which causes better result",
    "ISSN": "2456-5660"
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2022.v7.i02.pp195-209 gives all four in one JSON answer.