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作 者:衣家欣 王金鹤 YI Jiaxin;WANG Jinhe(Computer Engineering Institute,Qingdao University of Technology,Qingdao 266033)
机构地区:[1]青岛理工大学信息与控制工程学院,青岛266033
出 处:《计算机与数字工程》2020年第6期1456-1459,共4页Computer & Digital Engineering
基 金:国家自然科学基金项目(编号:31271077)资助。
摘 要:区域匹配是图像处理中基础算法之一,因匹配方法易操作、速度快,从而被广泛应用。针对传统的区域匹配算法在图像匹配方面的局限性,文中提出一种相位相关算法与区域匹配算法相结合的改进算法。针对收敛速度缓慢的问题,采用在区域匹配中融入特征提取,将特征边缘图作为区域匹配的操作对象,提高了算法的匹配收敛速度。针对噪音干扰,文中特征算子采用Canny算子,提高算法的抗干扰性。针对匹配精度差的问题,利用相位相关算法作为第二层匹配,提高匹配结果的准确性。算法实验结果表明,利用相位相关算法与区域匹配算法相结合的改进算法,能有效地保证速度优势,同时可以提高算法准确性。Region matching is one of the basic algorithms in image processing,which is widely used because of its easy operation and fast speed. Aiming at the limitation of traditional region matching algorithm in image matching,an improved algorithm combining phase correlation algorithm with region matching algorithm is proposed. Aiming at the problem of slow convergence speed,feature extraction is incorporated into region matching,and feature edge graph is used as the operation object of region matching to improve the matching convergence speed of the algorithm. In view of noise interference,the Canny operator is adopted to improve the anti-interference ability of the algorithm. Aiming at the problem of poor matching accuracy,phase correlation algorithm is used as the second layer matching to improve the accuracy of matching results. Experimental results show that the improved algorithm,which combines phase correlation algorithm with region matching algorithm,can effectively guarantee the speed advantage and improve the accuracy of the algorithm.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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