Chroma Characteristic Recognition Based Algorithm for Rapid Detection of Residues

In this paper, we study the algorithm to rapidly detect residues components using the reaction image produced by colloidal gold immunochromatography paper against the liquids to be tested. First, we transform images RGB color model into HSV color model, and then use principal color analysis to reduce three variables H, S, V into one Characteristic variable. Next we study the relationship between residues concentration and the Characteristic quantity by extracting the dominant color of image, calculating the first-moment of images, as well as using the weighted least squares method to determine the coefficients, we use Matlab simulation environment to test the characteristics quantity of a particular point in time for curve fitting, simulate the function relationship between the residues concentration and characteristics quantity. The experimental results show that the residue concentration calculated using this algorithm is consistent with the actual concentration.