Three color selective stereo gradient method for fast topography recognition of metallic surfaces

Markus Adameck; Michael Hossfeld; Manfred Eich

doi:10.1117/12.473968

22 May 2003 Three color selective stereo gradient method for fast topography recognition of metallic surfaces

Markus Adameck, Michael Hossfeld, Manfred Eich

Proceedings Volume 5011, Machine Vision Applications in Industrial Inspection XI; (2003) https://doi.org/10.1117/12.473968
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

Abstract

This paper presents an enhanced vision system of the "Selective Stereo Gradient Method" (SSGM). Its purpose is the detection of topographies of highly reflective, metallic surfaces of quickly moving metallic tokens. We call this vision system the 3-Color-SSGM. It represents a decisive improvement of the serial-SSGM. The objective is to decide from comparison of the measured characteristic surface topography with topographical data stored in a database whether the token belongs to a reference class or not. In the improved SSGM a 3 sector 120° color LED-illumination setup is used for generating a single image of a moving object. Using the spectral properties of the illumination, which matches to the special spectral characteristics of the camera, three independent images can be extracted. The comparison between these images leads to a discrimination between a real object with 3D topography and a photographic image. The experimental setup and special illumination conditions are described. The raw data images are segmented and scaled. Rotation and translation invariance of the recognition and classification process are implemented. A specimen can be classified by using statistical image analysis and template matching methods. The classification statistics results will be reported.

Citation Download Citation

Markus Adameck, Michael Hossfeld, and Manfred Eich "Three color selective stereo gradient method for fast topography recognition of metallic surfaces", Proc. SPIE 5011, Machine Vision Applications in Industrial Inspection XI, (22 May 2003); https://doi.org/10.1117/12.473968

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