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Improve the image discontinuous problem by using color temperature mapping method

dc.citation.volume8135en_US
dc.contributor.authorJeng, Wei-Deen_US
dc.contributor.authorOu-Yang, Mangen_US
dc.contributor.authorLai, Chien-Chengen_US
dc.contributor.authorWu, Hsien-Mingen_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.date.accessioned2014-12-08T15:21:17Z
dc.date.available2014-12-08T15:21:17Z
dc.date.issued2011en_US
dc.description.abstractThis article mainly focuses on image processing of radial imaging capsule endoscope (RICE). First, it used the radial imaging capsule endoscope (RICE) to take the images, the experimental used a piggy to get the intestines and captured the images, but the images captured by RICE were blurred due to the RICE has aberration problems in the image center and lower light uniformity affect the image quality. To solve the problems, image processing can use to improve it. Therefore, the images captured by different time can use Person correlation coefficient algorithm to connect all the images, and using the color temperature mapping way to improve the discontinuous problem in the connection region.en_US
dc.identifier.doi10.1117/12.895332en_US
dc.identifier.isbn978-0-81948-745-2en_US
dc.identifier.issn0277-786Xen_US
dc.identifier.journalAPPLICATIONS OF DIGITAL IMAGE PROCESSING XXXIVen_US
dc.identifier.urihttp://dx.doi.org/10.1117/12.895332en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/15098
dc.identifier.wosnumberWOS:000297641400037
dc.language.isoen_USen_US
dc.titleImprove the image discontinuous problem by using color temperature mapping methoden_US
dc.typeProceedings Paperen_US

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