DocumentCode
1121766
Title
Multiple Resolution Texture Analysis and Classification
Author
Peleg, Shmuel ; Naor, Joseph ; Hartley, Ralph ; Avnir, David
Author_Institution
Center for Automation Research, University of Maryland, College Park, MD 20742; Department of Computer Science, the Hebrew University of Jerusalem, 91904 Jerusalem, Israel.
Issue
4
fYear
1984
fDate
7/1/1984 12:00:00 AM
Firstpage
518
Lastpage
523
Abstract
Textures are classified based on the change in their properties with changing resolution. The area of the gray level surface is measured at serveral resolutions. This area decreases at coarser resolutions since fine details that contribute to the area disappear. Fractal properties of the picture are computed from the rate of this decrease in area, and are used for texture comparison and classification. The relation of a texture picture to its negative, and directional properties, are also discussed.
Keywords
Area measurement; Automation; Chemistry; Computer science; Educational institutions; Fractals; Length measurement; Performance analysis; Surface treatment; Vehicles; Fractals; fractal signature; multiresolution methods; texture classification;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/TPAMI.1984.4767557
Filename
4767557
Link To Document