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分形方法用于有噪图像边缘检测的研究
The Study on the Edge Detection of Noisy Image by Fractal
【摘要】 本文研究了加性高斯白噪声对于基于离散分数布朗随机场(简记为DFBR场)模型图像分形维数估计的影响,并将分形方法用于图像边缘检测,指出了在加性高斯白噪声的情况下,分形方法用于图像边缘检测较之经典的基于梯度运算的边缘检测方法有好的抗噪性能,同时又能检测出较丰富的图像边缘细节。
【Abstract】 In this paper, the affect on the estimation of fractal dimension based on the model of discrete fractional Brownian random field (DFBR field)under additive white Gaussian noise is studied and fractal is used for edge detection. The method for edge detection which is based on fractal is insensitive to noise compared with the traditional method which is based on gradient under additive white Gaussian noise and more edge details can be detected.
【关键词】 分形;
边缘检测;
离散分数布朗随机场;
【Key words】 fractal; edge detection; discrete fractional Brownian random field;
【Key words】 fractal; edge detection; discrete fractional Brownian random field;
【基金】 国家自然科学基金
- 【文献出处】 通信学报 ,JOURNAL OF CHINA INSTITUTE OF COMMUNICATIONS , 编辑部邮箱 ,1996年01期
- 【分类号】TN919.8
- 【被引频次】35
- 【下载频次】205