Extraction of Color Characteristics of Pesticide Detection Card Based on Machine Vision

In this paper, aiming at the pesticide residue in water resources, considering the necessity of rapid detection on site, a method based on machine vision for pesticide residue detection is proposed. The method combines machine vision and image processing technology to quickly extract the RGB three-component eigenvalues of the pesticide residue detection card. Each RGB channel has 256 brightness levels, which can overcome the shortcomings of low brightness level and indistinct image, and improve the accuracy of detection. The results show that the method is simple, fast and efficient, it is suitable for quickly extracting the characteristic values of pesticide residue detection cards.