Texture classification using wavelet transform
By A. Selvaraj, L. Ganesan. Pattern Recognition Letters, 2003
567 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/5b54bd1a924084b846bfc5c9e1c11d685621388e
How researchers see this paper
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In Computer Vision and Pattern Recognition
In Media Technology
Citations in the corpus
- A 2-D wavelet decomposition-based bag-of-visual-words model for land-use scene classification (2014, methodology): “D pyramid-structured WD operation is often used as a textural feature extraction method (Pichler, Teuner, and Hosticka 1996; Zhu and Yang 1998; Arivazhagana and Ganesanb 2003; Ouma, Ngigi, and Tateishi 2006).”
- A Review on Image Feature Extraction and Representation Techniques (2013, background): “[1-9], and most image annotation and retrieval systems have been constructed based on these features.”