基于Hausdorff距离和遗传算法的物体匹配方法

Hausdorff Distance Based Object Matching with Genetic Algorithms

在模式识别与机器视觉中，常常需要进行图像中的物体检测。本文将Ｈａｕｓｄｏｒｆｆ距离作为物体轮廓的相似性的测度，并用遗传算法进行最佳物体匹配的快速搜索方法，实验结果表明，本文的方法能有效地检测出具有平移。

Detection of objects in images is often needed in pattern recognition and machine vision.In this paper,the Hausdorff distance is used to measure the degree of similarity between two objects,and a genetic algorithm is utilized to search interested objects.The experimental results show that the proposed method can efficiently detect the objects in images regardless of their changes in translation,rotation and scale.