一种新的基于分形理论的边缘检测方法

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI:10.1109/ICNNSP.2003.1281062

Li. Qiong, Gao Jun, Gan Long, Dong Huo-ming

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引用次数: 4

摘要

我们周围自然物体的灰度图像满足分数布朗运动(fBm)模型。指出了现有基于fBm模型的边缘检测方法的局限性和不足，提出了一种基于分形理论的边缘检测方法。此外，还引入了一种边缘评价方法来分析其性能。实验结果表明，该方法不仅可以检测到丰富的边缘细节，而且计算经济。此外，该方法的一般边缘评价效果明显优于传统方法。

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A novel edge detection method based on fractal theory

The gray image of nature objects surrounding us satisfies the fractional Brownian motion (fBm) model. In this paper, the limitations and disadvantages of available methods based on fBm model are pointed out and a novel edge detection method based on fractal theory is proposed. Moreover, an edge evaluation method is introduced to analyze its performance. The experiment results show that the proposed method not only can detect abundant edge details but also is computationally economical. Furthermore, the general edge evaluation of the proposed method is much better than that of the traditional method.

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International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003

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