Title :
Hierarchical Gibbs models for image processing
Author :
Vasyukov, V. ; Kretinin, V.
Author_Institution :
Novosibirsk State Tech. Univ., Russia
fDate :
26 June-3 July 2004
Abstract :
Hierarchical models of images have been used in image processing rather widely because of evidently hierarchical nature of human vision. Gibbs distribution due to its universality looks like the most convenient formalism for making use of those models. In the paper an approach to image processing and image analysis based on hierarchical beamlet structure associated with Gibbs distribution is offered.
Keywords :
Bayes methods; graph theory; image resolution; vision; Gibbs distribution; beamlet decomposition; hierarchical Gibbs models; hierarchical beamlet structure; human vision; image analysis; image processing; Dictionaries; Humans; Image analysis; Image edge detection; Image processing; Image segmentation; Pixel; Signal analysis; Signal processing; Wavelet analysis;
Conference_Titel :
Science and Technology, 2004. KORUS 2004. Proceedings. The 8th Russian-Korean International Symposium on
Print_ISBN :
0-7803-8383-4
DOI :
10.1109/KORUS.2004.1555310
