UM
Fluorescent immune-chromatographic strip quantitative detection based on two-dimensional otsu method and region growth algorithm
Gao Y.1; Yi T.1; Wai M.1; Du M.1; Pun S.2
2016-09-01
Source PublicationChinese Journal of Sensors and Actuators
ISSN10041699
Volume29Issue:9Pages:1356-1360
AbstractExisting immunofluorescence chromatographic quantitative detection technology methods are mostly based on photoelectric reflex method. High precision for the strip position, and complex strip transmission unit are required in this method. In this paper, image of fluorescent immune-chromatographic strip was captured by the CMOS image sensor. A method for automatic recognition of test line and control line was proposed, In this method, seed points was chosen after the image was enhanced and initial segmented. Then the growth threshold was set via the improved two-dimensional Otsu method. Finally, the region growth algorithm was implemented to segment test line and control line. Experimental results showed that the algorithm could precisely segment the test line and control line, and finally realized the quantitative detection of fluorescent immune-chromatographic strip. The experiments proved that the segmented test line and control line is clear, complete and had excellent performance, even in conditions of a low contrast or a changeable background. The proposed method indexes on quantitative evaluation of the segmentation result, such as Uniformity Measure (UM), Regional Contrast (CR), were both well. In the quantitatively detect step, the coefficient variation of the measured characteristic values was less than 5% and the linearity was mare than 0.99. The experimental results shown that the method was feasible for the quantitative detection of fluorescent immune-chromatographic strip, and had wider detection limit than the comparing instrument.
KeywordFluorescent immune-chromatographic strip Image capture Quantitative detection Region growth Two-dimensional Otsu
DOI10.3969/j.issn.1004-1699.2016.09.010
URLView the original
Language英語
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Citation statistics
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Fuzhou University
2.Universidade de Macau
Recommended Citation
GB/T 7714
Gao Y.,Yi T.,Wai M.,et al. Fluorescent immune-chromatographic strip quantitative detection based on two-dimensional otsu method and region growth algorithm[J]. Chinese Journal of Sensors and Actuators,2016,29(9):1356-1360.
APA Gao Y.,Yi T.,Wai M.,Du M.,&Pun S..(2016).Fluorescent immune-chromatographic strip quantitative detection based on two-dimensional otsu method and region growth algorithm.Chinese Journal of Sensors and Actuators,29(9),1356-1360.
MLA Gao Y.,et al."Fluorescent immune-chromatographic strip quantitative detection based on two-dimensional otsu method and region growth algorithm".Chinese Journal of Sensors and Actuators 29.9(2016):1356-1360.
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