| 一种基于双目测距系统的亚像素精度自适应图像匹配算法 |
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| 引用本文： | 张尧,赵洋,刘博宇,迟名辰,杨进华.一种基于双目测距系统的亚像素精度自适应图像匹配算法[J].长春理工大学学报,2016,39(2):14-18. |
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| 作者姓名： | 张尧 赵洋 刘博宇 迟名辰 杨进华 |
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| 作者单位： | 长春理工大学 光电工程学院,长春,130022;长春理工大学 光电工程学院,长春,130022;长春理工大学 光电工程学院,长春,130022;长春理工大学 光电工程学院,长春,130022;长春理工大学 光电工程学院,长春,130022 |
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| 摘 要： | 针对目前亚像素精度图像匹配算法中存在的匹配精度不高和匹配速度慢的缺点,对基于灰度的归一化互相关算法进行了改进,提出动态调整匹配区域范围的自适应方法,既保证了亚像素级匹配精度,又提高了运算速度.实验证明,改进后的算法,在保证0.2个像素匹配精度的条件下,匹配速度大大提高,能够满足实际应用中的实时性要求.
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| 关 键 词： | 亚像素 自适应 图像匹配 归一化互相关 |
A Kind of Sub-pixel Accuracy Adaptive Image Matching Algorithm for Binocular Ranging System |
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| ZHANG Yao,ZHAO Yang,LIU Boyu,CHI Mingchen,YANG Jinhua.A Kind of Sub-pixel Accuracy Adaptive Image Matching Algorithm for Binocular Ranging System[J].Journal of Changchun University of Science and Technology,2016,39(2):14-18. |
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| Authors: | ZHANG Yao ZHAO Yang LIU Boyu CHI Mingchen YANG Jinhua |
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| Abstract: | In view of the disadvantages of the low matching accuracy and the slow speed of the matching accuracy in the sub-pixel accuracy image matching algorithm,the normalized cross correlation algorithm based on gray scale is im-proved,an adaptive method for dynamically adjusting the range of matching regions is proposed,it can not only ensure the accuracy of sub-pixel level matching, but also improve the operation speed. Experimental results:Improved algo-rithm,both ensuring the accuracy of 0.2 pixels matching,and improving the operation speed,Be able to meet the re-al-time requirements of the practical application. |
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| Keywords: | sub-pixel self-adaption image matching normalized cross-correlation |
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