一种图像边缘检测的分形误差算法

New edge detection arithmetic

为了解决传统图像边缘检测的不足,提出了一种基于分形误差的检测算法。首先将图像数据由灰度空间转换为分形特征空间,然后通过目标与背景所体现出的不同分形模型差异来达到边缘检测的目的。实验结果表明,该算法具有抗噪声、小目标或多目标检测等优点。

In this paper,provided a new edge detection arithmetic based on fractal error for resoluting shortcoming of traditinal methods.First,image data is transformed from gray space to fractal characteristic space which is also called error space.Second,the difference of the dissimilar fractal models which are indications of target and background is used to edge detection.The simulation results indicate the algorithm has the excellent performance in anti-noise and little target or multi-target detection.