LBP算法在岩石薄片图像拼接中的应用  

Application of LBP Algorithm in Rock Slice Image Stitching

作　　者：刘文亮[1] 王正勇[1] 卿粼波[1] 滕奇志[1] 

机构地区：[1]四川大学电子信息学院,成都610065

出　　处：《计算机与数字工程》2016年第2期326-330,共5页Computer & Digital Engineering

基　　金：国家自然科学基金项目(编号:61372174)资助

摘　　要：基于SIFT特征点的图像拼接算法对受消光性和干涉色影响的岩石薄片正交偏光图像进行拼接时,由于特征信息相似度极高,传统的BBF-RANSAC算法无法很好地剔除错误匹配对,从而导致错误的拼接结果。论文将LBP算法引入SIFT特征点描述中,利用SIFT算法对岩石薄片正交偏光图像进行特征点提取,在特征点描述时,采用隔点计算特征点周围像素点的旋转不变均匀LBP特征值,用其替代一阶梯度幅值,生成改进的SIFT特征点描述向量。实验结果表明,论文提出的基于旋转不变均匀局部二值模型的SIFT特征描述子提高了拼接算法的鲁棒性和速度。The image stitching algorithm based on SIFT features will lead to incorrect results when it is applied to orthogonal polarization core slice image stitching with high similarity of feature information,which are affected by extinction and interference,as the traditional BBF-RANSAC algorithm cannot eliminate false matches well.LBP algorithm is applied to SIFT feature descriptors.Firstly,features of orthogonal polarization rock images are calculated by using SIFT algorithm.Secondly,rotation-invariant uniform LBP values of uniformly-spaced pixels around the features are calculated instead of gradient value,when calculating feature descriptors.Finally,modified SIFT feature descriptors are generated.Experimental results show that the presented modified SIFT feature descriptors can improve the robustness and speed of image stitching algorithm.

关 键 词：岩石薄片 图像拼接 LBP SIFT 

分 类 号：TN315[电子电信—物理电子学]