A New Combined Optical System for an Automatic Diagnostics of Material Surfaces for Food Technologies

American Journal of Science and Technology

Jung-YoungSon¹  YuriyVashpanov²  Kae-DalKwack⁴ 

[1] Department of Automation for Production Processes, Odessa National Academy of Food Technologies, Odessa, Ukraine.;Hanyang Institute of Technology, Hanyang University, 17 Haengdang-dong, Sung-dong-gu, Seoul 133-791, South Korea;Hanyang Institute of Technology, Hanyang University, 17 Haengdang-dong, Sung-dong-gu, Seoul 133-791, South Korea.;School of Computer and Communication Engineering, Daegu University, Gyeongsan-si, Gyeongsangbuk-do, Daegu, 712-714, South Korea.

关键词: Machine Vision;    Multispectral Images;    Polarized Light;    Food Technology;   

学科分类：工程和技术（综合）

来源: AASCIT

【 摘 要 】

A combined method of diagnosing the surface of biological objects using multispectral imaging technology in polarized light for automatic evaluation of grain quality has been analyzed. The use of polarized light increases image quality for the detection of damaged areas of grain. The intensity of the reflected light from the surface of the grain characterizes the degree and locations on the surface in the damage process. We were analyzing the intensity distributions for different areas of the surface and we proposed a new parameter for quantitative characterization of damages of the samples. This data can be useful for automatic identification of food quality.

【 授权许可】

Unknown