色调
RGB颜色模型
残留物(化学)
环境科学
色阶
数学
杂草
园艺
人工智能
计算机科学
农学
化学
生物
生物化学
组合数学
作者
D. M. Woebbecke,George E. Meyer,K. Von Bargen,D. A. Mortensen
出处
期刊:Transactions of the ASAE
[American Society of Agricultural and Biological Engineers]
日期:1995-01-01
卷期号:38 (1): 259-269
被引量:1474
摘要
Color slide images of weeds among various soils and residues were digitized and analyzed for red, green, and blue (RGB) color content. Red, green, and blue chromatic coordinates (rgb) of plants were very different from those of background soils and residue. To distinguish living plant material from a nonplant background, several indices of chromatic coordinates were studied, tested, and were successful in identifying weeds. The indices included r-g, g-b, (g-b)/ |r-g|, and 2g-r-b. A modified hue was also used to distinguish weeds from non-plant surfaces. The modified hue, 2g-r-b index, and the green chromatic coordinate distinguished weeds from a nonplant background (0.05 level of significance) better than other indices. However, the modified hue was the most computationally intense. These indices worked well for both nonshaded and shaded sunlit conditions. These indices could be used for sensor design for detecting weeds for spot spraying control.
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