Study of the relative magnitude in the wavelet domain for texture characterization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://link.springer.com/article/10.1007/s11760-018-1295-8/fulltext.html
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3. Cimpoi, M., Maji, S., Kokkinos, I., Vedaldi, A.: Deep filter banks for texture recognition, description, and segmentation. Int. J. Comput. Vis. 118(1), 65–94 (2016)
4. Do, M.N., Vetterli, M.: Wavelet-based texture retrieval using generalized Gaussian density and Kullback–Leibler distance. IEEE Trans. Image Process. 11(2), 146–158 (2002)
5. Do, M.N., Vetterli, M.: The contourlet transform: an efficient directional multiresolution image representation. IEEE Trans. Image Process. 14(12), 2091–2106 (2005)
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1. Combining Statistical Features and Local Pattern Features for Texture Image Retrieval;IEEE Access;2020
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