图像边缘提取技术的分析及优化

The Analyzing of Algorithms for Image Edge Detection

本文对现有代表性的各种图像边缘提取方法进行了介绍和归纳,对比、分析了各自的优缺点,并自己提出了基于小波变换数据融合的图像边缘检测算法,该方案结合使用了微分法和小波变换两种方法,发挥了它们各自的优点,获得了比较明显的图像边缘。并对几种图像边缘提取算法进行计算机仿真研究,实验结果表明基于小波变换数据融合的图像边缘检测算法所得到的边缘提供了较高的边缘定位精度,是一种有效的图像边缘提取算法。

The representative algorithms in these days for image edge detection have been presented in this paper. After contrasting and analyziug the advantage and the disadvantage of every algorithm, we place an emphasis on analyzing and illuminating wavelet transform, which is one of the modem signal processing techniques for image edge detection. Simulation result shows that the new scheme can be used effective to provide clearer and smoother edges than conventional other methods.