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一种自适应Harris角点检测算法 被引量:7

Harris Corners Detection Method Based on Self-adapting Non-maximal Supperssion Algorithm
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摘要 针对传统算法检测效果不理想的问题,提出了一种基于自适应非最大抑制策略的Harris角点检测算法;通过设置抑制半径与角点响应函数的局部最大值关联,减小抑制半径获取角点。算法有效解决了阈值选取和"聚簇"的问题。实验表明,该算法检测出的角点均匀分布,能很好地适应特征匹配等实际应用。 When the target detection result is not ideal,Harris corner detection algorithm based on self-adapting non-maximal suppression strategy is proposed;Ranked local maximum of corner response function and a suppression radius for each corner is set up,corners are extracted through the suppression radius continuously decreasing.The problem of corner clustering and the difficulty of threshold selection is effectively avoided.The experimental result shows that this method is superior to the traditional harris corner algorithm,and can be used in practical.
机构地区 装甲兵工程学院
出处 《火力与指挥控制》 CSCD 北大核心 2015年第7期84-86,91,共4页 Fire Control & Command Control
基金 装甲兵工程学院科研创新基金项目
关键词 HARRIS 角点检测 自适应非最大抑制 Harris corner detection self-adapting non-maximal suppression
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