Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/43004
DC FieldValueLanguage
dc.contributor.authorYang, Ming-Deren_US
dc.contributor.authorSu, Tung-Chingen_US
dc.contributor.authorPan, Nang-Feien_US
dc.contributor.authorYang, Yeh-Fenen_US
dc.contributor.otherNational Chung Hsing University,Department of Civil Engineeringen_US
dc.contributor.other國立中興大學土木工程學系zh_TW
dc.date2011-3zh_TW
dc.date.accessioned2014-06-06T08:09:17Z-
dc.date.available2014-06-06T08:09:17Z-
dc.identifier.issn0957-4174zh_TW
dc.identifier.urihttp://hdl.handle.net/11455/43004-
dc.description.abstractClosed circuit television (CCTV) has been applied in many developing or developed counties for sewer inspection due to its low setup cost and technical requirement. Several automated diagnosis systems of sewer pipe defects had been developed to assist the technicians in interpreting or classifying sewer pipe defects. However, many researchers pointed out that good image quality is the prerequisite for accurate interpretation and diagnosis of CCTV inspection but has not a proper evaluation approach. In this paper, a CCTV image quality index considering both of the luminance distortion and the contrast distortion of a CCTV image compared by reference images is proposed and was applied to assess the image quality of the CCTV images shot for a sewer house-connection project. The experimental result indicates that rather than luminance contrast plays a more important role in the CCTV image quality that can be effectively improved by contrast enhancement. Since CCTV image quality can hardly distinguished by human eyes, the proposed image quality index can provide helpful information to efficiently assist the on-site technicians in precisely shooting better CCTV images for the pipe defection. Additionally, a sensitivity analysis of contrast stretch was implemented to quantify the CCTV image quality improvement. CCTV imaging conditions, such as pipe materials and imager status, are found as the factors affecting the CCTV image quality. In the future, a real-time CCTV image quality assessment will be developed by modifying the CCTV image quality index as an instantaneous reference for imaging adjustment that can be expected to be practicable for the on-site sewer inspection because of the extremely short computation time.en_US
dc.language.isoen_USzh_TW
dc.publisherElsevier Ltd.en_US
dc.relationExpert Systems with Applications, Volume 38, Issue 3, Page(s) 1766-1776.en_US
dc.subjectClosed circuit television (CCTV)en_US
dc.subjectLuminance distortionen_US
dc.subjectContrast distortionen_US
dc.subjectImage quality indexen_US
dc.titleSystematic image quality assessment for sewer inspectionen_US
dc.typeJournal Articlezh_TW
dc.identifier.doi10.1016/j.eswa.2010.07.103zh_TW
dc.contributor.catalogerMiao-zhen Luoen_US
item.fulltextno fulltext-
item.grantfulltextnone-
item.openairetypeJournal Article-
item.languageiso639-1en_US-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:土木工程學系所
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