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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
【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、旋转和尺度变化的物体
【Abstract】 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.
【基金】 国家自然科学基金
- 【文献出处】 电子学报 ,ACTA ELECTRONICA SINICA , 编辑部邮箱 ,1996年04期
- 【分类号】O235
- 【被引频次】71
- 【下载频次】473