Proceedings of the ... ISARC · 2004 · 23 citations · 5 references
EngineeringCivil EngineeringConstruction ManagementComputer VisionConstruction EngineeringDigital ImagingEdge DetectionImage AnalysisImage SegmentationObject RecognitionCanny Edge DetectorComputer Vision For ConstructionConstruction Progress MeasurementConstruction Progress TrackingEdge-based SegmentationMorphological Image ProcessingMorphological Image SegmentationProgress Monitoring
Digital Imaging in Assessment of Construction Project Progress Y. Wu, H. Kim Abstract: This paper presents a research effort designed to produce a digital imaging-based method to efficiently assess the level of construction project progress. Cameras are widely used to monitor and record various activities on a construction site. The images produced by the cameras can be processed with digital imaging techniques to help project participants better understand the status of the project. As the first step of this on-going research, this paper focuses on an image segmentation method designed to distinguish objects of interest, such as structural members on a construction site, from other objects in the image. The segmentation method combines an edge-based segmentation method with human knowledge of the construction scene represented by image morphological operations. A promising initial research result is also presented. Keywords: Canny Edge, Digital Imaging, Morphological Transformations, Project Control DOI: https://doi.org/10.22260/ISARC2004/0093 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley
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