DocumentCode :
2486737
Title :
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
Link To Document :
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