Based on the hardware platform of smart phone

a fluorescence immunochromatographic chip detection system is developed to realize the accurate extraction of fluorescent signal intensity and the quantitative detection of immunoassay on the fluorescent chip. A method of image feature extraction and recognition based on fluorescence chip of intelligent mobile phone is proposed. The signal region of the fluorescent chip is extracted and the signal intensity is extracted

which plays a guiding role in the development of fluorescence immunochromatographic chip detection system. Based on the fluorescence tomography chip image

the feature of the signal region in the chip image is detected by the sobel operator. Convolution

threshold analysis

binarization and projection are used to obtain the boundary of the detection region

and the intensity of fluorescence signal can be accurately extracted. The simulation results show that the proposed method can be applied to the detection system of fluorescence immunochromatographic chip. The experimental results show that the signal intensity has a good correlation with the concentration of immunoassay

which indicates that the detection system can extract the intensity of fluorescence signal of the chip.