DocumentCode
3477362
Title
A comparative study of texture coarseness measures
Author
Chamorro-Martínez, J. ; Martínez-Jiménez, P.
Author_Institution
Dept. of Comput. Sci. & Artificial Intell., Univ. of Granada, Granada, Spain
fYear
2009
fDate
7-10 Nov. 2009
Firstpage
1337
Lastpage
1340
Abstract
There are a wide variety of measures in the literature that capture the ¿coarseness¿ texture property. Some of them have better ability to represent coarseness than the others. Furthermore, some of them are more robust against the variation of other image features, like brightness, contrast, noise and size of the image. In this paper, we propose to study the robustness and the relationship with human coarseness perception of 17 classical measures of coarseness, in order to obtain a ranking of measures. This ranking can be used to identify those measures that have the highest relationship degree with perception and the least variation with the other image features.
Keywords
feature extraction; image texture; human coarseness perception; image brightness; image contrast; image features; image noise; image size; texture coarseness measures; Artificial intelligence; Brightness; Computer science; Humans; Image color analysis; Image retrieval; Image texture analysis; Noise measurement; Noise robustness; Size measurement; Image features; fineness; human perception; textural features; visual coarseness;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location
Cairo
ISSN
1522-4880
Print_ISBN
978-1-4244-5653-6
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2009.5413579
Filename
5413579
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