Concrete Crack Detection by Multiple Sequential Image Filtering

Abstract

This article presents a new robust automated image processing method for detecting cracks in surface images of concrete structures. This method involves two steps: (1) development of an image filter for detecting major cracks using genetic programming (GP), and (2) elimination of residual noise after filtering and detection of indistinct cracks by iterative applications of the image filter to the local regions surrounding the cracks. The proposed method can be used for the accurate detection of cracks in surface images recorded under various conditions. Moreover, the widths of the detected cracks can be quantified on the basis of the spatial derivatives of the brightness patterns. The estimated crack widths are in good agreement with those measured manually.

Data-driven scene parsing method for recognizing construction site objects in the whole image

“…The vision-based monitoring systems have been used in previous studies to monitor target objects for various purposes such as progress monitoring [12,14,16,31,32,[38][39][40][41][42], productivity analysis [8,18,20,26,43], safety management [24,[44][45][46][47][48][49], facility condition assessment [13,[50][51][52][53][54][55][56][57][58], and monitoring technology used on a construction site [10,19,21,22,[27][28][29][59][60][61][62][63][64]. Most of the studies have one or two recognizable object classes.…”

3D displacement measurement model for health monitoring of structures using a motion capture system

“…Safety monitoring includes assessments of the load bearing capacity of members and connections Adeli and Jiang 2009;Raich and Liszkai 2012;Nishikawa et al 2012), while serviceability relates to the structure's capacity to resist deformation and the assessment of maximum deflection, vibration level, and cracking of concrete (Gangone et al 2011;Walsh et al 2013). Various types of sensors have been developed to assess the safety and serviceability of structures where data on strain, acceleration, and displacement are usually used (Hampshire and Adeli 2000;Lee et al 2010;Bocca et al 2011;Li et al 2011a,b;Xia et al 2011;Cusson et al 2011;Lajnef 2011;Luo et al 2013;Park et al 2013;Yehia et al, 2014).…”

Pedestrian detection in far infrared images

“…Image analysis and computer vision is lately being incorporated in civil engineering [13,28,47]. The applications are plenty and include freeway work zone analysis [1,27,36,37], automatic image search [34], human detection and modeling [12,69] and face recognition [7].…”