Author: Gao Yue-Ming Wei Jian-Chong Mak Peng-Un Vai Mang-I. Du Min Pun Sio-Hang
Publisher: MDPI
E-ISSN: 1424-8220|16|7|1007-1007
ISSN: 1424-8220
Source: Sensors, Vol.16, Iss.7, 2016-06, pp. : 1007-1007
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Abstract
With many benefits and applications, immunochromatographic (ICG) assay detection systems have been reported on a great deal. However, the existing research mainly focuses on increasing the dynamic detection range or application fields. Calibration of the detection system, which has a great influence on the detection accuracy, has not been addressed properly. In this context, this work develops a calibration strip for ICG assay photoelectric detection systems. An image of the test strip is captured by an image acquisition device, followed by performing a fuzzy c-means (FCM) clustering algorithm and maximin-distance algorithm for image segmentation. Additionally, experiments are conducted to find the best characteristic quantity. By analyzing the linear coefficient, an average value of hue (