Paper
6 January 1995 Automatic recognition of granule appearance
Deshen Xia, Ren Jiang, Jingyu Yang, Hua Li
Author Affiliations +
Proceedings Volume 2345, Optics in Agriculture, Forestry, and Biological Processing; (1995) https://doi.org/10.1117/12.198870
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States
Abstract
The paper presents a granule appearance recognition system in the plastic production process. In the industry, granule product shape is one of the important quality index. Abnormal granule shape products are as waste products some times. But in the automatic process, it is too difficult to test the granule shape one by one, when the product quantity is great. The automatic recognition system we proposed is designed for distinguishing the normal granule or abnormal granule shape of plastic products in the process line and giving the percentages of them. The methods (8 chain code, automatic threshold selection...) we used realize the rapid granule shape test, therefore the good quality products are obtained.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Deshen Xia, Ren Jiang, Jingyu Yang, and Hua Li "Automatic recognition of granule appearance", Proc. SPIE 2345, Optics in Agriculture, Forestry, and Biological Processing, (6 January 1995); https://doi.org/10.1117/12.198870
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KEYWORDS
CCD cameras

Visualization

Image classification

Calibration

Cameras

Classification systems

Detection and tracking algorithms

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