1 November 1990 Recognizing industrial parts using 2-D shape features and geometry parameters
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Abstract
In this paper a new approach is proposed for industrial part recognition. The basic ideal of the method is that the 3D geometry parameters of parts are combined with their shape invariant features for recognition. An effective method is presented in this paper to extract the approximate 3D information of the parts from an image and a machine vision system for recognizing flat industrial parts based on the approach has been developped on PCVISION image processing system. The experimental results show that the approach works well for recognizing shape distorted flat parts.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ke Liu, Ke Liu, Jingyu Yang, Jingyu Yang, } "Recognizing industrial parts using 2-D shape features and geometry parameters", Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); doi: 10.1117/12.23550; https://doi.org/10.1117/12.23550
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