CAJ | 학술논문

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。
각점시도상적중요특정점。대경전적Harris산법진행료이론분석화실험연구，대이론분석중적일개삼수치제출개진。통과대상관정서적측시，험증료분석결과。결과표명，대Harris각점검측산법중적삼수진행개진후，능구경가돌출각점여배경적대비도，재일정정도상강저료역치선취적복잡도，결과우우경전Harris산법。
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.