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Vision-based estimation of bolt-hole location using Circular Hough Transform

Yungeun Choe, Hoo-Cheol Lee, Young-Joong Kim, Daehie Hong, Sin-Suk Park, Myo–Taeg Lim

Year
2009
Citations
9

Abstract

In order to use a robot in the construction automation filed, we proposed the concept of Bolting Robot and a visual servo control scheme to track a bolting tool to a bolt hole in the structural steel frame. For estimating a location of a bolt hole, Circular Hough Transform (CHT) was used to extract circles. Generally, CHT is computationally complex due to a power of the dimensionality of a circle. A distance from a camera to a steel frame can be measured by using laser range-finder installed. The radius of a bolt hole can be calculated with the distance to a steel frame. Since the radius is known, the processing of CHT can be reduced to 2D. In addition, it contains image pre-processing to make an image of bolt holes to be clear. Pre-processing has 4 steps which consist of compensating lens distortion, noise filtering, histogram equalization, and edge detection.

Keywords

Hough transformComputer visionArtificial intelligenceFrame (networking)EngineeringImage processingSharpeningHistogram equalizationEnhanced Data Rates for GSM EvolutionNoise (video)

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