CAJ | 학술논문

传统的Harris角点检测算法检测效果比较理想,也有较高的重复率,然而其角点提取的效果几乎完全依赖于非极大值抑制过程中阈值的设定,当参数不改变时,并不具有旋转不变性.文中提出了一种改进的Harris算法,通过二次非极大值抑制,有效地避免设置阈值这一难点;同时,在不改变任何参数的情况下,明显地减小了图像旋转前后角点提取的差异.通过对比实验表明,本算法简单易操作,提取角点非常有效,相较于传统的Harris算法具有更好的角点检测性能.
전통적Harris각점검측산법검측효과비교이상,야유교고적중복솔,연이기각점제취적효과궤호완전의뢰우비겁대치억제과정중역치적설정,당삼수불개변시,병불구유선전불변성.문중제출료일충개진적Harris산법,통과이차비겁대치억제,유효지피면설치역치저일난점;동시,재불개변임하삼수적정황하,명현지감소료도상선전전후각점제취적차이.통과대비실험표명,본산법간단역조작,제취각점비상유효,상교우전통적Harris산법구유경호적각점검측성능.
The traditional Harris corner detection algorithm not only has a good work,but also has a higher repetition rate. However,the whole corner detection process depends almost entirely on the corner extraction threshold during non-maxima suppression,and it's hard to achieve the rotational invariance if the parameters do not change. It presents an improved Harris algorithm,through the secondary maxima suppression to avoid setting the threshold value;at the same time,reduce the corner extraction differences around image rotation when there is not any change to the parameters. The experiment shows that this algorithm is simple and easy to operate,the corner points extrac-ted are very effective,compared with the traditional Harris algorithm has better corner detection performance.