Real-time image processing for hot bar ends profile

Xiong-Jun Li; Ling-Jing Tang; Zhu Li

doi:10.1117/12.179293

24 June 1994 Real-time image processing for hot bar ends profile

Xiong-Jun Li, Ling-Jing Tang, Zhu Li

Proceedings Volume 2239, Visual Information Processing III; (1994) https://doi.org/10.1117/12.179293
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

The first and most important link of the crop shear optimization system, profile tracking and recognition (PTR) for hot bar ends, is introduced in this paper. Several features in system architecture are described. In the design of software, several ways are proposed to speed up the processing. A unique set of algorithms for real-time image data processing in C language and assembler language is used. Different thresholding strategy in different position are useful for the system to be used in a hostile environment and with scales on the bar. Experimental results show that the system has high reliability and good anti-interference performances.

Citation Download Citation

Xiong-Jun Li, Ling-Jing Tang, and Zhu Li "Real-time image processing for hot bar ends profile", Proc. SPIE 2239, Visual Information Processing III, (24 June 1994); https://doi.org/10.1117/12.179293

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