Title :
Co-occurrence-based analysis and synthesis of textures
Author :
Lohmann, Gabriele ü
Author_Institution :
Inst. fur Inf., Tech. Univ. Munchen, Germany
Abstract :
In the first part of this paper, an algorithm for synthesizing textures obeying a given set of co-occurrence features is presented. It is shown that the synthetically generated images are visually very similar to remotely sensed images coming from the Landsat/TM and ERS1/AMI sensors. This result motivates the use of those features for texture classification. In the second part of the paper, a new algorithm for classifying textures based on co-occurrence feature vectors that are modelled as multi-nomial density functions is presented
Keywords :
image texture; ERS1/AMI; Landsat/TM; co-occurrence-based analysis; co-occurrence-based synthesis; multi-nomial density functions; synthetically generated images; texture classification; Ambient intelligence; Density functional theory; Displays; Image generation; Image processing; Image segmentation; Image sensors; Mutual information; Remote sensing; Satellites;
Conference_Titel :
Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6265-4
DOI :
10.1109/ICPR.1994.576322
