Defect detection and quantification system to support subjective visual quality inspection via a digital image processing: A tiling work case study
作者: Chollada LaoforVachara Peansupap
作者单位: 1Department of Civil Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand
刊名: Automation in Construction, 2012, Vol.24 , pp.160-174
来源数据库: Elsevier Journal
DOI: 10.1016/j.autcon.2012.02.012
关键词: Visual quality inspectionArchitectural workDigital image processingDefect detection
原始语种摘要: Abstract(#br)Several areas of the quality inspection on architectural works only use subjective visual inspection, especially those involving aesthetic faults. Because people are limited in what they can detect visually, inspectors are not able to quantify the value of a defect and cannot perform an inspection that includes all possible defects. Subjective evaluations depend on individual experience and are unreliable because they do not have objective standards. Therefore, this paper presents an innovative system of defect detection and quantification. The system is able to augment subjective visual quality inspections in architectural work by specifying defect positions and quantifying defect values. This method uses defect feature analysis and quantifies the defect value from digital...
全文获取路径: Elsevier  (合作)
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影响因子:1.82 (2012)

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