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dc.contributor.authorMang Ou-Yangen_US
dc.contributor.authorJeng, Wei-Deen_US
dc.contributor.authorWu, Yin-Yien_US
dc.contributor.authorDung, Lan-Rongen_US
dc.contributor.authorWu, Hsien-Mingen_US
dc.contributor.authorWeng, Ping-Kuoen_US
dc.contributor.authorHuang, Ker-Jeren_US
dc.contributor.authorChiu, Luan-Jiauen_US
dc.date.accessioned2014-12-08T15:23:15Z-
dc.date.available2014-12-08T15:23:15Z-
dc.date.issued2012-05-01en_US
dc.identifier.issn0091-3286en_US
dc.identifier.urihttp://dx.doi.org/057004en_US
dc.identifier.urihttp://hdl.handle.net/11536/16321-
dc.description.abstractThis study investigates image processing using the radial imaging capsule endoscope (RICE) system. First, an experimental environment is established in which a simulated object has a shape that is similar to a cylinder, such that a triaxial platform can be used to push the RICE into the sample and capture radial images. Then four algorithms (mean absolute error, mean square error, Pearson correlation coefficient, and deformation processing) are used to stitch the images together. The Pearson correlation coefficient method is the most effective algorithm because it yields the highest peak signal-to-noise ratio, higher than 80.69 compared to the original image. Furthermore, a living animal experiment is carried out. Finally, the Pearson correlation coefficient method and vector deformation processing are used to stitch the images that were captured in the living animal experiment. This method is very attractive because unlike the other methods, in which two lenses are required to reconstruct the geometrical image, RICE uses only one lens and one mirror. (C) 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.OE.51.5.057004]en_US
dc.language.isoen_USen_US
dc.subjectradial imaging capsule endoscopeen_US
dc.subjectmean absolute erroren_US
dc.subjectmean square erroren_US
dc.subjectpearson correlation coefficienten_US
dc.subjectpeak signal-to-noise ratioen_US
dc.subjectstitch imagesen_US
dc.subjectcorrelationen_US
dc.titleImage stitching and image reconstruction of intestines captured using radial imaging capsule endoscopeen_US
dc.typeArticleen_US
dc.identifier.doi057004en_US
dc.identifier.journalOPTICAL ENGINEERINGen_US
dc.citation.volume51en_US
dc.citation.issue5en_US
dc.citation.epageen_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000304615300037-
dc.citation.woscount0-
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