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
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;
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
DOI :
10.1109/APCC.1999.820396
