地空背景下目标分形拟合检测算法

An Edge Detection Algorithm Based on Fitting Fractal Model

通过数字图像的离散分数布朗运动场模型,在研究提取分形维数H参数的基础上,根据人造目标与自然背景各自不同的分形特性,针对性的提出了一种提取分形模型拟合误差的检测算法。实验表明,该方法能够实现不同背景及目标的检测,抗噪声干扰性好,较之普通检测算法对目标具有更好的检测效果,是一种有效的边缘检测算法。

Based on the discrete fractal Brownian random field (DFBR) of digital images and the different fractal characters of objects and background, it is proposed an edge detection algorithm based on distilling fractal model's fitting errors. Experiments test that the algorithm can detection different edges of objects and background and has better capability against of noise. The results also show the proposed algorithm is effective and can preserve edge informations better.