首页 /研究 /Vision-based estimation of bolt-hole location using Circular Hough Transform
OTHER

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

发表年份
2009
引用次数
9

摘要

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.

关键词

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

相关论文

查看 OTHER 分类全部论文