基于株心颜色的玉米田间杂草识别方法

Weed detection method based the centre color of corn seedling

根据3～5叶苗期玉米植株的生长特征及其株心所具有的颜色特征,提出了一种利用玉米植株的株心颜色特征识别玉米田间杂草的方法。玉米植株叶片的颜色是深绿色,而株心区域的颜色是浅绿色,该特征可由反映颜色深浅程度的饱和度指标表达。玉米植株的中心区域具有最大的饱和度值,该特性可用于在利用绿-红指标分割土壤背景后玉米植株的中心区域的提取。对分割后的绿色植株前景而言,与提取的株心区域相连通的区域是玉米植株,反之,非连通区域为杂草。试验结果表明:玉米植株和杂草的正确识别率平均为88%和84%,识别一帧720×576象素的图像的平均时间120ms。玉米植株的正确识别率主要受中心区域的完整度影响,而杂草的正确识别率主要受玉米和杂草叶片重叠程度的影响。

A novel method for weed detection using the color feature of corn seedling was developed.The leaves of corn seedling were dark green,but its centre zone was peak green.The unique feature could be reflected by the saturation index,which depended upon the relative dominance of pure hue in a color sample.The saturation of centre zone had a maximum saturation value for corn seedling.That was used to extract the centre zone of corn seedling after soil background was segmented with the green-red index.For the segmented foreground of green seedling,the connected region with the extracted centre zone was classified as corn seedling.On the contrary,the unconnected region with them was recognized as weed.The results showed that the correct classification rate of corn plant and weed was 88%and 84%,respectively.For a frame image with 720×576 pixels was processed,the mean processing time was only 120ms.The correct classification rate of corn plant was mainly influenced by the integrity of centre zone,whereas the correct classification rate of weed was mainly affected by the occluding degree of corn and weed leaves.Therefore,the future work will be on the control of field view and the segmentation of occluding leaves of corn and weed.