应用计算机图像处理技术识别玉米苗期田间杂草的研究

利用计算机图像处理技术分析了玉米苗期田间杂草的特征量，识别出田间杂草并确定了杂草的位置和生长状况。研究中采用双峰法滤除了土壤背景，根据投影面积、叶长、叶宽识别出了杂草，并且根据杂草投影面积确定出了杂草密度。实验结果表明，此方法可有效地识别出玉米苗期田间细长的单子叶杂草。

Research on Recognizing Weed From Corn Seedling by Using Computer Image Processing Technology

By using computer image processing technology, features of weed in the corn seedling field were analyzed, the field weed was recognized from the corn seedling, the weed position and growing state were found out. In the research, the two-apex method was used to filter soil background, the weed was recognized depending on projective area, leaf length and width, weed growing state was confirmed according to weed projective area, weed position was calculated depending on projective area center. The experiment showed that the method could identify acerose endogen weed correctly.