Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
A texture thesaurus for browsing large aerial photographs
Journal of the American Society for Information Science - Special topic issue: artificial intelligence techniques for emerging information systems applications
Automated binary texture feature sets for image retrieval
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
Lattice estimation from images of patterns that exhibit translational symmetry
Image and Vision Computing
Using contextual spaces for image re-ranking and rank aggregation
Multimedia Tools and Applications
Multimodal retrieval with relevance feedback based on genetic programming
Multimedia Tools and Applications
| Hi-index | 0.00 |
Image texture is an important visual primitive in image search and retrieval applications. To characterize texture information of images, a texture descriptor is proposed to capture both the perceptual information and the statistics of textures. The descriptor consists of two parts: a Perceptual Browsing Component (PBC) and a Similarity Retrieval Component (SRC). The emphasis of this paper is to introduce the extraction method for the PBC which is based on multidimensional decomposition of images using Gabor filters. By analyzing the one dimensional projections resulting from filtered images, PCB gives a quantitative measure about the structuredness of textures and also identifies the directionality and coarseness (scale). Our experimental results demonstrate that PBC can capture these texture properties quite well.