Title :
Unsupervised color image segmentation based on local fractal descriptor and J-images
Author :
Komati, Karin S. ; Salles, Evandro O T ; Filho, Mario Sarcinelli
Author_Institution :
Grad. Program on Electr. Eng., Fed. Univ. of Espirito Santo, Vitoria, Brazil
Abstract :
This paper proposes an improved version for the JSEG color image segmentation algorithm, combining the classical JSEG algorithm and a local fractal operator that measures the fractal dimension of each pixel, thus improving the boundary detection in the J-map. Experiments with natural color images of the Berkeley Segmentation Dataset and Benchmark are presented, which show improved results in comparison with the classical JSEG algorithm.
Keywords :
fractals; image colour analysis; image segmentation; Berkeley Segmentation Dataset and Benchmark; J-images; J-map; JSEG color image segmentation; boundary detection; classical JSEG algorithm; fractal dimension; local fractal descriptor; local fractal operator; unsupervised color image segmentation; Color; Colored noise; Electric variables measurement; Fractals; Image analysis; Image edge detection; Image segmentation; Image texture analysis; Pixel; Quantization; J value segmentation (JSEG); color image segmentation; differential box-counting (DBC); edge detection; fractal dimension; local fractal descriptor;
Conference_Titel :
Industrial Technology (ICIT), 2010 IEEE International Conference on
Conference_Location :
Vi a del Mar
Print_ISBN :
978-1-4244-5695-6
Electronic_ISBN :
978-1-4244-5696-3
DOI :
10.1109/ICIT.2010.5472697
