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dc.contributor.authorMa, Boyuan
dc.contributor.authorBan, Xiaojuan
dc.contributor.authorHuang, Haiyou
dc.contributor.authorLiu, Wanbo
dc.contributor.authorLiu, Chuni
dc.contributor.authorWu, Di
dc.contributor.authorZhi, Yonghong
dc.date.accessioned2020-04-24T09:17:33Z
dc.date.available2020-04-24T09:17:33Z
dc.date.created2019-04-16T15:27:49Z
dc.date.issued2019
dc.identifier.citationComputational materials science. 2019, 158 1-13.en_US
dc.identifier.issn0927-0256
dc.identifier.urihttps://hdl.handle.net/11250/2652382
dc.description.abstractIn material research, it is often highly desirable to observe images of whole microscopic sections with high resolution. So that micrograph stitching is an important technology to produce a panorama or larger image by combining multiple images with overlapping areas, while retaining microscopic resolution. However, due to high complexity and variety of microstructure, most traditional methods could not balance speed and accuracy of stitching strategy. To overcome this problem, we develop a method named very fast sequential micrograph stitching (VFSMS), which employ incremental searching strategy and GPU acceleration to guarantee the accuracy and the speed of stitching results. Experimental results demonstrate that the VFSMS achieve state-of-art performance on three types’ microscopic datasets on both accuracy and speed aspects. Besides, it significantly outperforms the most famous and commonly used software, such as ImageJ, Photoshop and Autostitch. The software is available at https://www.mgedata.cn/app_entrance/microscope.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.titleA fast algorithm for material image sequential stitchingen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber1-13en_US
dc.source.volume158en_US
dc.source.journalComputational materials scienceen_US
dc.identifier.doi10.1016/j.commatsci.2018.10.044
dc.identifier.cristin1692953
dc.description.localcode© 2018. This is the authors’ accepted and refereed manuscript to the article. Locked until 09.11.2020 due to copyright restrictions.en_US
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.fulltextoriginal
cristin.qualitycode2


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