Modeling Automated Inspection Plans for Straight Line Detection in Image Scenes

Edgar Reetz, Alexander Schlegel, Patrick Werner, Maik Schumann, Jörg Bargenda and Gerhard Linß

ABSTRACT

This article explains an approach to further enhance the detection of geometric primitives namely straight lines, based on the spline filter contour decomposition method as shown in [1]. The aim is to split complex features into simple primitives for which further processing steps will lead to automated measurement results. Thus the inspection plan generated is reusable without employing additional CAD software tools. The feature recognition approach proposed in this paper incorporates an adaptive spline filter scale space method for smoothing contour point clouds at subpixel-scale precision with the aim to reduce the user influence on the setup of ROIs (regions of interest) in image scenes and therefore increasing usability of software interfaces.

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