DocumentCode
1456913
Title
Image segmentation and contour detection using fractal coding
Author
Ida, Takashi ; Sambonsugi, Yoko
Author_Institution
Inf. & Commun. Syst. Lab., Toshiba Corp., Kawasaki, Japan
Volume
8
Issue
8
fYear
1998
fDate
12/1/1998 12:00:00 AM
Firstpage
968
Lastpage
975
Abstract
Fractal coding was applied to image segmentation and contour detection. The encoding method was the same as in conventional fractal coding, and the compressed code, which we call the fractal code, was used for image segmentation and contour detection instead of image reconstruction. An image can be segmented by calculating the basin of attraction on a mapping that is a set of local maps from the domain block to the range block. The local maps are parameterized using the fractal code, and contours of the objects in the image are detected by the inverse mapping from the range block to the domain block. Some objects in the test image Lena were segmented, and the contours were detected well. The proposed methods are expected to enable compressed codes to be used directly for image processing
Keywords
data compression; edge detection; fractals; image coding; image representation; image segmentation; compressed code; compressed codes; computational complexity; contour detection; domain block; fractal code; fractal coding; image processing; image representation; image segmentation; inverse mapping; local maps; range block; Decoding; Fractals; Gray-scale; Image coding; Image processing; Image reconstruction; Image representation; Image segmentation; Image storage; Object detection;
fLanguage
English
Journal_Title
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher
ieee
ISSN
1051-8215
Type
jour
DOI
10.1109/76.736726
Filename
736726
Link To Document