A framework for texture analysis based on spatial filtering
A framework for texture analysis based on spatial filtering
Geometric transform Invariant Texture Analysis based on Modified Zernike Moments
Fundamenta Informaticae
Continuous rotation invariant local descriptors for texton dictionary-based texture classification
Computer Vision and Image Understanding
Hi-index | 0.10 |
A theory regarding the information processing strategies in human vision motivates the development of a texture feature space. The feature space is used in texture classification and segmentation problems. A statistic for determining the number of different textures in the image is developed and demonstrated.