Title :
A new set of multiscale texture features based on B-spline image approximation
Author :
Matalas, Ioannis
Author_Institution :
Dept. of Electr. & Electron. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK
Abstract :
We propose a set of multiscale features for texture description. Image smoothing at multiple scales using the fast smoothing B-spline transform is performed and a number of features, such as the local area, the normal vector dispersion and the gradient orientation, are computed from each scale. Classification experiments with natural textures and comparison with other texture description methods prove the capabilities of the proposed features. Being effective even for small observation windows, these features are suitable for high-resolution texture segmentation
Keywords :
computer vision; feature extraction; image segmentation; image texture; smoothing methods; splines (mathematics); B-spline transform; computer vision; gradient orientation; image approximation; image smoothing; multiscale texture features; texture segmentation; vector dispersion; Biomedical imaging; Educational institutions; IIR filters; Layout; Linearity; Polynomials; Smoothing methods; Spline; Surface fitting; Surface texture;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.547188