Multiscale Blob Features for Gray Scale, Rotation and Spatial Scale Invariant Texture Classification
Pattern Recognition, International Conference on (2006)
Aug. 20, 2006 to Aug. 24, 2006
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.847
Qi Xu , Fudan Univ., Shanghai, P.R. China
Yan Qiu Chen , Fudan Univ., Shanghai, P.R. China
This paper proposes to apply a series of flexible threshold planes to the textured image and then use the topological and geometrical attributes of the blobs in the obtained binary images to describe image texture. The proposed Multiscale Blob Features (MBF) is invariant to linear gray-level scaling and rotation, and is insensitive to uniform spatial scaling. The experiment results show that MBF offers very low error rate on the entire Brodatz texture database, and confirm its invariance properties.
Q. Xu and Y. Q. Chen, "Multiscale Blob Features for Gray Scale, Rotation and Spatial Scale Invariant Texture Classification," 2006 18th International Conference on Pattern Recognition(ICPR), Hong Kong, 2006, pp. 29-32.