CAJ | 학술논문

　　针对Harris特征点匹配的精度低和效率不高的问题，提出了基于Harris特征点匹配的改进算法。首先对Harris 特征点的提取方法进行了改进，减少了伪特征点的提取。然后利用改进的双向最大归一化相关系数匹配的方法提取初始特征点对，最后用改进的随机采样一致法来剔除伪特征点对，实现特征点对的精确匹配。实验结果表明，该算法不仅提高了特征点匹配的精度，而且极大地提高了特征点匹配的效率。
　　침대Harris특정점필배적정도저화효솔불고적문제，제출료기우Harris특정점필배적개진산법。수선대Harris 특정점적제취방법진행료개진，감소료위특정점적제취。연후이용개진적쌍향최대귀일화상관계수필배적방법제취초시특정점대，최후용개진적수궤채양일치법래척제위특정점대，실현특정점대적정학필배。실험결과표명，해산법불부제고료특정점필배적정도，이차겁대지제고료특정점필배적효솔。
According to the problems of low-precision and less real-time in Harris feature point matching, proposes an improved algorithm of Harris feature point matching. Firstly, Harris feature point extracting algorithm is improved so that it can reduce false feature point extracting. The initial feature point pairs are extracted with the method of improved bidirectional greatest normalized correlative coefficient, and the false feature point pairs are rejected by the improved random sample consensus algorithm to realize precision matching. The results indicate that the improved algorithm not only improve the precision of feature point matching but also improve the efficiency of feature point matching greatly.