采用计算机视觉进行棉花虫害程度的自动测定

采用计算机视觉技术，根据棉花叶片的孔洞及叶片边缘的残缺，来测定棉花虫害的受害程度。该方法应用局部门限法完成图像与背景的分割；用高斯拉普拉斯算子，进行棉花图像的边缘检测；利用边缘跟踪算法确定棉叶中的孔洞；利用膨胀算法确定叶片边缘的残缺。实验结果表明，该方法可有效的测定棉花虫害的受害程度，其测定误差小于0.05。

Automatic Measurement of Danger Degree of Cotton Insect Pests Using Computer Vision

In this paper, by using computer vision technology, danger degree of cotton insect pests was automatically measured based on inside hole and irregular edge of cotton leaves. The local threshold algorithm was used to segment the cotton leaf from the background and the LOG algorithm was applied to recognize the edge of cotton leaf. The deformity of leaf edge was certified by using dilatation algorithm, and the hole of the cotton leaf was determined by using the edge tracking algorithm. The experiment results showed that the method can effectively judge the danger degree of insect pests of cotton, and the measurement error of danger degree was less than 0.05.