Real-time analysis of the grain on wooden planks

Michael A. Kellner; Tobias Hanning; Holger Farr

doi:10.1117/12.460190

8 March 2002 Real-time analysis of the grain on wooden planks

Michael A. Kellner, Tobias Hanning, Holger Farr

Proceedings Volume 4664, Machine Vision Applications in Industrial Inspection X; (2002) https://doi.org/10.1117/12.460190
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

A valuable visual indicator to grade the stiffness and strength of planks can be obtained by analyzing the structure of the grain on it. To integrate an analyzing image vision module in an industrial selection process a real-time system is needed to build. Two main objectives must be reached: First a stable edge detector should extract the grain edges. Second these grain edges have to be tracked to achieve a complete grain representation. This representation can be used to analyze the regularity of the grain. Since the visual nature of grain varies a lot even on a single plank we present an edge detector which is adaptive and a grain tracking algorithm capable of closing gaps between pixels. Both steps work in real-time (i.e. 5 frames per second resulting in 1 meter per second).

Citation Download Citation

Michael A. Kellner, Tobias Hanning, and Holger Farr "Real-time analysis of the grain on wooden planks", Proc. SPIE 4664, Machine Vision Applications in Industrial Inspection X, (8 March 2002); https://doi.org/10.1117/12.460190

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