一种基于植物群落算法的图像边缘检测方法

An Plant Community Algorithmfor Image Edge Detection

图像边缘检测是机器视觉领域的基础任务,由于图像边缘特征的复杂性使得该任务存在着诸多困难。为了能够自适应的降低这些复杂性带来的影响,文章提出了一种新的更为鲁棒的智能算法。以传统Sobel边缘提取算子的思想为切入点,模拟植物群的繁衍生存过程提出了植物群落算法。最后通过实验提取边缘并与其他算法结果进行比较以证明本算法的优越性。

Image edge detection is a basic task in the field of machine vision.There are many difficulties in this task due to the complexity of image edge features.In order to adaptively reduce the impact of these complexity,this paper proposes a new and more robust intelligent algorithm.Based on the idea of traditional Sobel edge extraction operator,a plant community algorithm is proposed by simulating the reproduction and survival process of plant community.Finally,the edge is extracted through experiments and compared with other algorithmresults to prove the superiority of this algorithm.