一种改进的Harris角点检测算法

An Improved Harris Corner Detection Algorithm

角点是图像的重要特征点。对经典的Harris算法进行了理论分析和实验研究,对理论分析中的一个参数值提出改进。通过对相关程序的测试,验证了分析结果。结果表明,对Harris角点检测算法中的参数进行改进后,能够更加突出角点与背景的对比度,在一定程度上降低了阈值选取的复杂度,结果优于经典Harris算法。

Corner is an important image features, we provide theoretical analysis and experimental study of the classic Harris algorithm. We propose a theoretical analysis of parameter values in the improvement, and validate the analysis results based on the related program testing. The result shows that, when the parameters of the Harris corner detection algorithm is improved, it can highlight the corner and background contrast, reduce the complexity of the threshold value to a certain extent, and the result is better than the classical Harris algo-rithm.