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

fYear

2010

fDate

14-17 March 2010

Firstpage

303

Lastpage

308

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICIT.2010.5472697

Filename

5472697