CAJ | 학술논문

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。
채용계산궤시각기술，근거면화협편적공동급협편변연적잔결，래측정면화충해적수해정도。해방법응용국부문한법완성도상여배경적분할；용고사랍보랍사산자，진행면화도상적변연검측；이용변연근종산법학정면협중적공동；이용팽창산법학정협편변연적잔결。실험결과표명，해방법가유효적측정면화충해적수해정도，기측정오차소우0.05。
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.