基于混合遗传算法的SAR图像边缘检测

A Genetic Algorithm-based Edge Detection Method for SAR Image

在研究SAR图像特性的基础上,提出了一种基于混合遗传算法的边缘检测方法。它将边缘检测 归结为一个优化问题,利用遗传算法的全局寻优能力,能够搜索到定位准确,更加连续和精确的边缘, 并且局部优化算子又能大大加快算法的收敛,因而算法兼有良好的检测效果和快速的处理速度。仿真 结果也证明了其有效性。

After a research on the characteristic of SAR image, a hybrid genetic algorithm-based edge detection method is proposed. According to this method, the edge detection of SAR image is reduced to an optimization problem. By the global searching capacity of genetic algorithm, more continuous and accurate edges can be detected. Moreover, a local optimization operator is used to speed up the convergence, so this new method presents better detection results with a remarkably rapid speed. The simulations also prove its efficiency.