Noise robust rotation invariant features for texture classification-Reference-Cited by-同舟云学术

Noise robust rotation invariant features for texture classification

Published:2013-08 Issue:8 Volume:46 Page:2103-2116
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Maani Rouzbeh,Kalra Sanjay,Yang Yee-Hong

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference45 articles.

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3. X. Qin, Y.-H. Yang, Basic gray level aura matrices: theory and its application to texture synthesis, in: IEEE International Conference on Computer Vision (ICCV), 2005, pp. 128–135.

4. Texture analysis using gray level run lengths;Galloway;Computer Graphics and Image Processing,1975

5. Texture information in run-length matrices;Tang;IEEE Transactions on Image Processing,1998

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