DocumentCode
3522675
Title
Fractal based texture analysis for retrieval of image data
Author
Sufei-Sun Jing´ao ; Cai Anni
Author_Institution
Beijing Univ. of Posts & Telecommun., China
Volume
2
fYear
1999
fDate
18-22 Oct. 1999
Firstpage
845
Abstract
In this paper, directional fractal dimensions are computed for a special class of images with lines and curves. Then the texture variation coefficient is defined and a simple algorithm for detecting singularity fields of an image is proposed. Experiments show that 92% singularity fields are correctly recognized by the proposed algorithm, and this will greatly help with content-based retrieval of texture images from a large database.
Keywords
content-based retrieval; edge detection; fractals; image texture; content-based retrieval; curves; directional fractal dimensions; fractal based texture analysis; image data; large database; lines; singularity fields; texture images; texture variation coefficient; Fractals; Image analysis; Image retrieval; Image segmentation; Image texture analysis; Information retrieval; Rough surfaces; Sun; Surface roughness; Surface texture;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 1999. APCC/OECC '99. Fifth Asia-Pacific Conference on ... and Fourth Optoelectronics and Communications Conference
Conference_Location
Beijing, China
Print_ISBN
7-5635-0402-8
Type
conf
DOI
10.1109/APCC.1999.820396
Filename
820396
Link To Document