A microscopic image stitching algorithm with improved energy function

WANG Jiang’an; LIANG Wenqian; HUANG Le; QIN Linzhen

doi:10.11959/j.issn.1000-0801.2024212

您当前的位置：

首页 >

文章列表页 >

A microscopic image stitching algorithm with improved energy function

Research and Development | 更新时间：2024-11-25

- A microscopic image stitching algorithm with improved energy function
- Telecommunications Science Vol. 40, Issue 9, Pages: 99-108(2024)
- 作者机构：
  
  长安大学信息工程学院，陕西西安 710064
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2024212
  CLC： TP391
- Received：15 May 2024，
  
  Revised：2024-08-28，
  
  Published：20 September 2024
- 稿件说明：
移动端阅览
王江安,梁温茜,黄乐等.一种改进能量函数的显微图像拼接算法[J].电信科学,2024,40(09):99-108.

WANG Jiang’an,LIANG Wenqian,HUANG Le,et al.A microscopic image stitching algorithm with improved energy function[J].Telecommunications Science,2024,40(09):99-108.
王江安,梁温茜,黄乐等.一种改进能量函数的显微图像拼接算法[J].电信科学,2024,40(09):99-108. DOI： 10.11959/j.issn.1000-0801.2024212.

WANG Jiang’an,LIANG Wenqian,HUANG Le,et al.A microscopic image stitching algorithm with improved energy function[J].Telecommunications Science,2024,40(09):99-108. DOI： 10.11959/j.issn.1000-0801.2024212.

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。

Abstract

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

Keywords

references

PATRICK P , MICHEL G , ANDREW B . Poisson image editing [J ] . ACM Transactions on Graphics , 2003 , 22 ( 3 ): 313 - 318 .

CHANG C H , SATO Y , CHUANG Y Y . Shape-preserving half-projective warps for image stitching [C ] // Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition(CVPR) . Piscataway : IEEE Press , 2014 : 3254 - 3261 .

QI M , YANG T . Image stitching algorithm based on area blocking and optimal seam [C ] // Proceedings of the 2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics(IHMSC) . Piscataway : IEEE Press , 2019 : 287 - 290 .

JINSOL C , HEUNSEUNG L , SANGWOO Y , et al . Image stitching method for surround view image without seamline [C ] // Proceedings of the 2023 International Conference on Electronics, Information, and Communication (ICEIC) . Piscataway : IEEE Press , 2023 : 1 - 3 .

赵书睿 . 全景图像拼接关键技术研究 [D ] . 四川：电子科技大学， 2013 .

ZHAO S R . Research on key technology of panoramic image stitching [D ] . Sichuan : University of Electronic Science and Technology , 2013 .

张文博 , 刘卫东 , 李乐 , 等 . 基于自适应图像增强的水下多帧目标图像拼接融合方法 [J ] . 西北工业大学学报 , 2022 , 40 ( 5 ): 997 - 1003 .

ZHANG W B , LIU W D , LI L , et al . Adaptive image enhancement based stitching fusion method for underwater multi-frame target images [J ] . Journal of Northwestern Polytechnical University , 2022 , 40 ( 5 ): 997 - 1003 .

郭璠 , 李小虎 , 刘文韬 , 等 . 基于参数回归的快速全景图像拼接算法 [J ] . 通信学报， 2023 ， 44 ( 9 ): 36 - 47 .

GUO F , LI X H , LIU W T , et al . A fast panoramic image stitching algorithm based on parametric regression [J ] . Journal of Communication , 2023 , 44 ( 9 ): 36 - 47 .

刘杰 , 游品鸿 , 田明 , 等 . 基于局部投影的视差图像拼接平滑优化 [J ] . 电子学报， 2022 , 50 ( 6 ): 1451 - 1456 .

LIU J , YOU P H , TIAN M , et al . Optimization of parallax image stitching smoothing based on local projection [J ] . Journal of Electronics , 2022 , 50 ( 6 ): 1451 - 1456 .

YANG S , WU J , WANG H . Virtual exhibition image stitching fusion method based on light compensation and improved optimal stitching lines [C ] // Proceedings of the 2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) . Piscataway : IEEE Press , 2023 : 803 - 806 .

练洋奇 , 陈新度 , 吴磊 , 等 . 高分辨率瓷砖图像实时拼接算法 [J ] . 电子测量技术， 2023 , 46 ( 7 ): 144 - 150 .

LIAN Y Q , CHEN X D , WU L , et al . Real-time stitching algorithm for high-resolution tiled images [J ] . Electronic Measurement Technology , 2023 , 46 ( 7 ): 144 - 150 .

SUN Y , LV Y , SONG B , et al . Image stitching method of aerial image based on feature matching and iterative optimization [C ] // Proceedings of the 2021 40th Chinese Control Conference(CCC) . Piscataway : IEEE Press , 2021 : 3024 - 3029 .

黄旭龙 , 杨晓梅 . 含噪无人机图像拼接方法 [J ] . 计算机工程与设计， 2021 , 42 ( 7 ): 1973 - 1980 .

HUANG X L , YANG X M . Noise-containing UAV image stitching method [J ] . Computer Engineering and Design , 2021 , 42 ( 7 ): 1973 - 1980 .

江一帆 . 基于ORB特征的街景图像拼接技术研究与实现 [D ] . 重庆：西南大学， 2022 .

JIANG Y F . Research and implementation of street view image splicing technology based on ORB features [D ] . Chongqing : Southwest University , 2022 .

杨春德 , 成燕菲 . 基于拼接缝自适应消除和全景图矫直的快速图像拼接算法 [J ] . 计算机应用， 2019 ， 39 ( 10 ): 3053 - 3059 .

YANG C D , CHENG Y F . Fast image stitching algorithm based on adaptive elimination of stitching seam and panorama straightening [J ] . Computer Applications , 2019 , 39 ( 10 ): 3053 - 3059 .

DONG Y , LIANG C , ZHAO C . A novel remote sensing image registration algorithm based on feature using ProbNet-RANSAC [J ] . Sensors , 2022 , 22 ( 13 ): 4791 .

李四杰 , 唐清善 , 高英华 . 基于GMS和改进最佳缝合线的视差图像拼接算法 [J ] . 计算机与现代化， 2022 ( 12 ): 95 - 101，117 .

LI S J , TANG Q S , GAO Y H . Parallax image stitching algorithm based on GMS and improved optimal suture [J ] . Computer and Modernization , 2022 ( 12 ): 95 - 101,117 .

TANG H , LIN Y B , SUN G Y , et al . A metal artifact reduction scheme in CT by a Poisson fusion sinogram based postprocessing method [J ] . Journal of X-ray Science and Technology , 2021 , 29 ( 2 ): 245 - 257 .

王茹 . 基于改进的ORB特征和融合算法的图像拼接系统实现 [D ] . 西安：长安大学 , 2021 .

WANG R . Implementation of image stitching system based on improved ORB features and fusion algorithm [D ] . Xi'an : Chang'an University , 2021 .

斯捷 , 肖雄 , 李泾 , 等 . 基于格林坐标和改进最佳缝合线的图像拼接技术 [J ] . 计算机应用， 2021 ， 41 ( Z1 ): 230 - 236 .

SI J , XIAO X , LI J , et al . Image stitching technique based on Green's coordinates and improved optimal stitching line [J ] . Computer Applications , 2021 , 41 ( Z1 ): 230 - 236 .

占建斌 . 基于改进特征提取和融合优化的图像拼接算法 [D ] . 哈尔滨：哈尔滨理工大学， 2023 .

ZHAN J B . Image stitching algorithm based on improved feature extraction and fusion optimization [D ] . Harbin : Harbin Institute of Technology , 2023 .

Views

480

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

No data

Related Author

No data

Related Institution

No data

⁰