Title :
A compact representation of random phase and Gaussian textures
Author :
Desolneux, Agnés ; Moisan, Lionel ; Ronsin, Samuel
Author_Institution :
MAP5, Univ. Paris Descartes, Paris, France
Abstract :
In this paper, we are interested in the mathematical analysis of the micro-textures that have the property to be perceptually invariant under the randomization of the phases of their Fourier Transform. We propose a compact representation of these textures by considering a special instance of them: the one that has identically null phases, and we call it “texton”. We show that this texton has many interesting properties, and in particular it is concentrated around the spatial origin. It appears to be a simple and useful tool for texture analysis and texture synthesis, and its definition can be extended to the case of color micro-textures.
Keywords :
Fourier transforms; Gaussian processes; image colour analysis; image representation; image texture; mathematical analysis; random processes; Fourier transform; Gaussian texture; color microtexture; identical null phase; mathematical analysis; perceptually invariance; random phase representation; random phase texture; texton; texture analysis; texture synthesis; Convolution; Discrete Fourier transforms; Image color analysis; Manganese; Noise; Visualization; Gaussian random field; random phase texture; texture analysis; texture synthesis;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6288148