Integration of local fractal dimension and boundary edge in segmenting natural images

Author

Maeda, Junji ; Anh, Vo V. ; Ishizaka, Tohru ; Suzuki, Yukinori

Author_Institution

Dept. of Comput. Sci. & Syst. Eng., Muroran Inst. of Technol., Japan

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

845

Abstract

We present a method that integrates local fractal dimension and edge information into a region growing algorithm for the segmentation of natural images. We compare two methods of estimating the local fractal dimension in the proposed segmentation algorithm. One is a blanket method and the other is a Fourier-wavelet method. We also propose a technique to store the edge information not on a pixel itself but on a boundary between pixels in the region-edge integrating algorithm in order to use the edge information more effectively and to simplify the algorithm

Keywords

Fourier transforms; edge detection; fractals; image segmentation; wavelet transforms; Fourier-wavelet method; blanket method; boundary edge; edge information; image segmentation; local fractal dimension; natural images; region growing algorithm; region-edge integrating algorithm; Australia; Computer science; Computer vision; Equations; Fractals; Humans; Image processing; Image segmentation; Mathematics; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.559631

Filename

559631