基于改进遗传算法的图像边缘特征提取

Edge Feature Abstract of Image Based on Improved Genetic Algorithm

遗传算法作为一种实用、稳健的优化搜索算法,已经渗透到许多学科及工程领域,在数字图像处理中的应用亦日趋广泛。为了能够快速有效地提取出图像的边缘,对遗传算法的选择、交叉和变异算子分别进行了改进,并将其应用到图像边缘特征提取中。实验结果表明,改进遗传算法在保证有效地提取出边缘的基础上,提高了收敛性能,是一种有效的、可靠的优化算法,具有一定的实用价值。

As a kind of practical and sane optimum searching algorithm,the genetic algorithms has already permeated into many disciplines and project fields,whose application in digital image processing is also extensive day by day.In order to quickly and efficiently extract the edge of the image,in this paper,the selection,crossover and mutation operator of genetic algorithm are improved,and it is applied to extract the edge of the image.The experimental results show that improved gentic algorithm can detect satisfactory edges as well as improve convergence,which is a kind of efficient and reliable optimization arithmetic,having some applied value.