一种改进能量函数的显微图像拼接算法  

A microscopic image stitching algorithm with improved energy function

作　　者：王江安[1] 梁温茜 黄乐[1] 秦林珍 WANG Jiang’an;LIANG Wenqian;HUANG Le;QIN Linzhen(School of Information Engineering,Chang’an University,Xi’an 710064,China)

机构地区：[1]长安大学信息工程学院,陕西西安710064

出　　处：《电信科学》2024年第9期99-108,共10页Telecommunications Science

摘　　要：针对传统最佳缝合线算法难以有效消除显微图像拼接后的拼接缝问题,提出一种基于最佳缝合线的图像融合优化算法。首先,利用ORB(oriented FAST and rotated BRIEF)算法对待拼接图像进行特征提取并定位重叠区域;其次,设计改进能量函数,结合动态规划技术,在重叠区域内有效搜索出最佳缝合线,基于这条缝合线,进一步采用改进融合方法有效融合两幅图像;最后,利用泊松融合方法消除重叠区域与非重叠区域之间存在的拼接缝,得到最终图像。实验结果显示,该方法将最佳缝合线两侧像素的相似度提高了5%左右,降低了能量损失,有效消除了拼接缝,提高了图像质量。Addressing the challenge of traditional optimal suture algorithms in effectively eradicating splicing seams after fusing microscopic images,an image fusion optimization algorithm based on the optimal suture was proposed.Firstly,ORB was used to extract features from the to-be-spliced images and locate the overlapping region.Secondly,an improved energy function was designed and combined with the dynamic planning technique to effectively search for the optimal suture line in the overlapping region.Based on this line,the improved fusion method was further used to fuse the two images.Finally,the Poisson fusion method was utilized to eliminate the splicing seams existing between the overlapped and non-overlapped regions to obtain the final image.The experimental results show that this method improves the similarity of the pixels on both sides of the optimal suture line by about 5%,reduces the energy loss,eliminates the splicing seam,and improves the image quality.

关 键 词：最佳缝合线 图像融合 能量函数 泊松融合 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]