摘要
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.
出处
《电子学报》
EI
CAS
CSCD
北大核心
1996年第4期1-6,共6页
Acta Electronica Sinica
基金
国家自然科学基金