CAJ | 학술논문

针对室内环境下利用传统加速鲁棒特征( SURF)算法进行图像实时拼接效率不高，以及室内环境图像快速拼接的要求，提出了一种基于改进SURF算法的室内环境图像快速拼接方法。首先，采用SURF算法对获得到的室内环境图像进行初步特征点提取，同时利用双向K最近邻分类算法筛选提取到的SURF特征点，得到粗略的匹配点对；其次，采用随机采样一致性( RANSAC)算法更新匹配点对，剔除被错误提取的匹配点对；最后，采取加权平均融合算法对配准完成后的图像进行融合拼接。通过该方法得到了完整的室内环境拼接图像，并提高了图像匹配准确度和拼接效率。从实验结果来看，提出的改进方法能极大降低室内图像的匹配错误，提高了室内图像拼接效率，同时能够取得较好的拼接效果。
침대실내배경하이용전통가속로봉특정( SURF)산법진행도상실시병접효솔불고，이급실내배경도상쾌속병접적요구，제출료일충기우개진SURF산법적실내배경도상쾌속병접방법。수선，채용SURF산법대획득도적실내배경도상진행초보특정점제취，동시이용쌍향K최근린분류산법사선제취도적SURF특정점，득도조략적필배점대；기차，채용수궤채양일치성( RANSAC)산법경신필배점대，척제피착오제취적필배점대；최후，채취가권평균융합산법대배준완성후적도상진행융합병접。통과해방법득도료완정적실내배경병접도상，병제고료도상필배준학도화병접효솔。종실험결과래간，제출적개진방법능겁대강저실내도상적필배착오，제고료실내도상병접효솔，동시능구취득교호적병접효과。
In order to solve the problem of poor effect on indoor environment image mosaic caused by Speed-Up Robust Features ( SURF) algorithm and meet the demands of the fast indoor environment images matching,in this paper,the improved algorithm of SURF is proposed. First,the feature points are detected by SURF algorithm,using bidirectional k-nearest neighbor algorithm to filtrate the fea-ture points to obtain the fuzzy matching points pair. Then,the error feature points are eliminated by RANSAC algorithm. Finally,the weighted average method is used to fuse and join the mosaic images. Through the above steps,the final images have been obtained and the accuracy and efficiency of the images matching has been improved. The experimental results show that the algorithm proposed in this paper can reduce the matching error,increasing the images mosaic efficiency and acquiring the good stitching effect.