Influence of light intensity on color features of the flue-cured tobacco leaf
Color feature is an important factor affecting the automatic tobacco leaf grading system. Light intensity affects tobacco leaf image quality and grade criteria. To study how light intensity influences tobacco color features, we designed an image acquisition system in which pictures were taken under twelve different light intensities based on the artificial light intensity. Using color vectors under the model RGB, HSI and HSV to analyze how light intensities influence color vectors and sensibility. Suitable color vectors and light intensity for grading tobacco leaves were identified, providing a scientific basis of the light selection for tobacco classification. The result showed that color vectors R and V can be used as discriminant operators under the light intensity of 2500 lx, while color vectors G, B, I and H of the model HSV can be used as discriminant operators under the light intensity of 3200 lx.