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棉 花 学 报 Cotton Science 2006，18(3)：160-163
Study on the Parameters of Digital Images of Diagnosis on Cotton Premature senescence Grade Abstract：Cotton premature senescence caused by inherent or environmental factors often produces an abnormal process in which the life of a partial or whole cotton plant terminates prematurely within the growing season. Premature senescence induced either pathologically or physiologically ,appears to be an abnormal termination in a total or partial plant before maturity , which usually causes depressed economical parameters in cotton. How to determine the premature senescence degree would be an important research area. Image processing is the best way to solve such problems. The method to diagnose the premature senescence grades of cotton was studied with the imaging process. The images of the cotton fields were taken under the sunlight conditions, and then the red, green, blue(RGB), their relative ratios (r, g, b), and the hues of the images were calculated. The correlations among premature senescence grades and their color parameters were analyzed using the RGB and the HSI model. The results showed that there were high linear correlations between the premature senescence grades and G/(R+B) weight, and between the premature grades and the hue. So that the two parameters could be used as the indices of growth for the fast diagnosis using such image processing.
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