A novel image edge detection using fractal compression

Authors:
Liangbin Zhang;Lifeng Xi;Ke Zhang
Affiliations:
Zhejiang Wanli University, Ningbo, Zhejiang;Zhejiang Wanli University, Ningbo, Zhejiang;Shanghai Institute of Technology, Shanghai, China
Venue:
First International Workshop on Artificial Intelligence in Grid Computing
Year:
2007

Citing 3
Cited 0

Fractal image compression: theory and application

Fractal image compression: theory and application
A Local Visual Operator Which Recognizes Edges and Lines

Journal of the ACM (JACM)
Image segmentation and contour detection using fractal coding

IEEE Transactions on Circuits and Systems for Video Technology

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Abstract

Image edges are the foundation of image texture and shape figure extraction. In this paper we propose a novel edge detection method based on the self-similarity of fractal compression. We point out that the mean-square-error distance (MSE) of fractal compression can be used to extract edge of fractal image effectively. The self-similarity coefficient between the local range block and the searching domain block is centered at the current pixel being processed, and near-center self-affine transform is applied in local searching process, finally a binary operator is used to threshold its magnitude and produce the edge map of the image. The results of experiments show that the proposed new algorithm for image edge detection is valid and effective. It also has good anti-noise performance..