Lacunarity Analysis on Image Patterns for Texture Classification

Yuhui Quan, Yong Xu, Yuping Sun, Yu Luo
2014 2014 IEEE Conference on Computer Vision and Pattern Recognition  
Based on the concept of lacunarity in fractal geometry, we developed a statistical approach to texture description, which yields highly discriminative feature with strong robustness to a wide range of transformations, including photometric changes and geometric changes. The texture feature is constructed by concatenating the lacunarity-related parameters estimated from the multi-scale local binary patterns of image. Benefiting from the ability of lacunarity analysis to distinguish spatial
more » ... ns, our method is able to characterize the spatial distribution of local image structures from multiple scales. The proposed feature was applied to texture classification and has demonstrated excellent performance in comparison with several state-of-theart approaches on four benchmark datasets.
doi:10.1109/cvpr.2014.28 dblp:conf/cvpr/QuanXSL14 fatcat:un266mnvmndixjewe2p7pkycm4