基于改进最佳缝合线的图像拼接方法  

Image mosaic method based on improved best seam-line

作　　者：张翔 王伟[2] 肖迪 HANG Xiang 1,WANG Wei 2,XIAO Di 1(1.College of Electrical Engineering and Control Science,Nanjing Tech University,Nanjing 211800,China;2.Department of Aeromedicine,Naval Medical Research Institute,Shanghai 200433,Chin)

机构地区：[1]南京工业大学电气工程与控制科学学院,江苏南京211800 [2]海军医学研究所航空医学研究室,上海200433

出　　处：《计算机工程与设计》2018年第7期1964-1970,共7页Computer Engineering and Design

基　　金：全军后勤科研基金项目(BHJ14C017);武器装备军内科研基金项目(14A509);国家自然科学基金项目(61403190);教育部高等学校博士学科点专项科研基金项目(20133221120012)

摘　　要：针对图像拼接中运动物体过于靠近缝合线造成重影和鬼影的现象,提出一种改进的最佳缝合线图像拼接方法。用SURF和ORB算法对特征点提取描述,采用PROSAC算法去除误匹配,利用提纯后的内点对待拼接图像进行RGB曝光差异矫正,用形态学操作和颜色饱和度差异改进能量函数,在最佳缝合线搜索准则中加入局部信息权重,结合融合带和加权平均融合的方法进行图像融合。实验结果表明,该方法能有效消除缝合线和鬼影,提高图像拼接质量。To solve the phenomenon of ghosting when the moving object is too close to the best seam-line in the image mosaic,an improved image mosaic method based on the best seam-line was proposed.The feature points were extracted and described using SURF and ORB algorithms.PROSAC algorithm was used to eliminate false matching points.The exposure difference of the image was corrected with inliers.The cost function was improved by morphological operations and color saturation differences.The local information weight was added to the search criteria of the best seam-line.The fusion image was fused according to the fusion band and the weighted average fusion method.Experimental results show that the proposed method can effectively eliminate the seam-line and ghosting phenomenon and improve the quality of image mosaic.

关 键 词：图像拼接 最佳缝合线 特征点提取 描述子 加权平均融合 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]