Fractal-JSEG: JSEG Using an Homogeneity Measurement Based on Local Fractal Descriptor

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

2009

fDate

11-15 Oct. 2009

Firstpage

253

Lastpage

260

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

image colour analysis; image resolution; image segmentation; Berkeley segmentation dataset; JSEG color image segmentation algorithm; fractal-JSEG; homogeneity measurement; local fractal descriptor; natural color images; Computer graphics; Content based retrieval; Degradation; Digital images; Fractals; Image processing; Image retrieval; Indexing; Information systems; Manuals; J value segmentation (JSEG); color image segmentation; differential box-counting (DBC); edge detection; fractal dimension; local fractal operator;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Graphics and Image Processing (SIBGRAPI), 2009 XXII Brazilian Symposium on

Conference_Location

Rio de Janiero

ISSN

1550-1834

Print_ISBN

978-1-4244-4978-1

Electronic_ISBN

1550-1834

Type

conf

DOI

10.1109/SIBGRAPI.2009.22

Filename

5395198