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活性污泥显微图像的多图像拼接方法

Multi-image Stitching Method for Activated Sludge Microscopic Images
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摘要 为了构建完整且细节清晰的活性污泥显微图像全景图,提出一种基于特征点和最佳接缝线算法的活性污泥显微图像的多图像拼接方法。以沈阳某污水处理厂的活性污泥显微图像为研究对象,对其进行全景图像拼接实验,结果表明,所提方法的拼接效果在客观指标和主观评价方面表现良好,能够为研究人员提供更为直观和详细的全景图像样本信息。 With a view to constructing a complete and clear panorama of activated sludge microscopic im-ages,a multi-image stitching method for the activated sludge microscopic images based on feature points and the best seam line algorithm was proposed.Through taking the microscopic image of the activated sludge in a sewage treatment plant as an example,the experiment on panoramic image stitching was carried out to show that,the stitching effect of the proposed method performs well in terms of objective indicators and subjective evaluation,which could provide researchers with more intuitive and detailed information of panoramic image samples.
作者 范俊彤 赵立杰 郝毓敏 刘飞 郭仁春 Jun-tong;ZHAO Li-jie;HAO Yu-min;LIU Fei;GUO Ren-chun(College of Information Engineering,Shenyang University of Chemical Technology)
出处 《化工自动化及仪表》 2025年第4期621-627,共7页 Control and Instruments in Chemical Industry
关键词 多图像拼接 相邻关系 拼接路径 最佳接缝线算法 全景图像 multi-image stitching adjacent relation stitching path best seam line algorithm panoramic image
作者简介 范俊彤(1999-),硕士研究生,从事控制工程方面的研究,2670297794@qq.com。
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  • 1杨长保,王开义,马生忠.一种最短路径分析优化算法的实现[J].吉林大学学报(信息科学版),2002,20(2):70-74. 被引量:9
  • 2Reddy B S,Chatterji B N.An FFT-based Technique forTranslation,Rotation,and Scale-Invariant Image Registration[J].IEEE Transaction on Image Processing,1996,5(8):1266-1271.
  • 3Szeliski R.Video Mosaics for Virtual Environments[J].IEEEComputer Graphics and Applications,1996,16(2):22-30.
  • 4Peleg S,Rousso B,Rav-Achaetc A.Mosaic on Adaptive Mani-folds[J].IEEE Transaction on Pattern Analysis and MachineIntelligence,2000,22(10):1144-1154.
  • 5Brown M,Lowe D G.Recognizing Panoramas[C]//Proceed-ings of the IEEE Ninth International Conference on ComputerVision,Washington,DC,USA,2003,2:1218-1225.
  • 6Lowe D G.Object Recognition from Local Scale-InvariantFeatures[C]//International Conference on Computer Vision,Corfu,Greece,1999,2:1150-1157.
  • 7Lowe D G.Distinctive Image Features from Scale-InvariantKeypoints[J].International Journal of Computer Vision,2004,60(2):91-110.
  • 8Mikolajczyk K,Leibe B,Schiele B.Local Features for ObjectClass Recognition[C]//Proceedings of the IEEE Ninth Inter-national Conference on Computer Vision,Beijing,China,2005,2:1792-1799.
  • 9汤井田,王凯,肖嘉莹.基于SIFT特征检测的医学显微图像自动拼接[J].计算机工程与应用,2007,43(35):243-244. 被引量:6
  • 10王娟,师军,吴宪祥.图像拼接技术综述[J].计算机应用研究,2008,25(7):1940-1943. 被引量:85

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