Research on the method of feature extraction based on ARM platform
- 10.2991/icadme-15.2015.281How to use a DOI?
- Colloidal gold reagent; Quantitative detection; Feature extraction; Least square method; Weight function;
Detection method of colloidal gold immunochromatography assay concentration using colorimetric principle, when tested in liquid reagent on antigen and antibody response, reagent detection area change color, and compared to standard color grade then the concentration can be qualitative analysis. At present, the concentration of colloidal gold test strip is mostly semi quantitative, so the application scope is limited. This paper designs an image shooting based on embedded ARM platform application which processor using ARM v7 architecture, equipped with WINCE system, the OV9650 CMOS (Complementary Metal Oxide Semi-conductor) image sensor to obtain quantitative colloidal gold test strip image information, while setting manual white balance, exposure time, manual gain, then extracting ruler window setting image cut. And we can judge and recognize the characteristics of the detection regions, through using the least square method to further reduce the error, and for the effective feature region of the most value and area value, design weight function, to improve the repeatability of measurement results. The paper makes a quantitative analysis of the image of the reagent, and the repeatability error can reach ±1%. Through the analysis of the research the results are in accord with the design requirements. The design and algorithm of this paper have some practical value.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Dezhi Zheng AU - Kunming Wang AU - Jialin Cheng AU - Shangchun Fan PY - 2015/10 DA - 2015/10 TI - Research on the method of feature extraction based on ARM platform BT - Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering PB - Atlantis Press SP - 1515 EP - 1521 SN - 2352-5401 UR - https://doi.org/10.2991/icadme-15.2015.281 DO - 10.2991/icadme-15.2015.281 ID - Zheng2015/10 ER -