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基于Harris角点检测的改进算法 被引量：7

An Improved Corner Detection Algorithm Based on Harris
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摘要 Harris角点检测算法是图像匹配中使用非常广泛的特征提取算法。针对目前图像处理过程中尺度不变特征点提取的算法实时性较差,算法计算量比较大的问题,在Harris角点检测算法的基础上提出一种简化的算法思想:邻近像素采用对比的方法,从理论上分析算法的性能,实验中保证算法性能的同时实时性得到了提高。 Harris corner detection algorithm is widely used in feature extraction algorithm in image matching. Against the issues of current scale-invariant image processing algorithm for extracting feature points less real-time and the calculation of algorithm larger then ever, proposes an idea of a simplified algorithm based on Harris corner detection algorithm that is take contradi - stinction from adjacent pixels, a theoretical analysis algorithm performance, the experiment at the same time to ensure real-time algorithm performance has been improved.
作者 陈书智 王未央
机构地区 上海海事大学信息工程学院
出处 《现代计算机》 2010年第6期44-46,57,共4页 Modern Computer
基金 上海市教委项目(No.2008097)
关键词 图像匹配 HARRIS算法 实时性 角点检测 尺度不变 Image Matching Harris Algorithm Real-Time Corner Detection Scale-Invariant
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献10

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二级参考文献31

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共引文献152

同被引文献47

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二级引证文献34

现代计算机
2010年 第6期

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