CAJ | 학술논문

为实现玉米叶片姿态的自动测量，针对玉米叶片形态特征，提出了基于图像处理的玉米叶片姿态自动测量方法。首先采用迭代方法对叶片图像细化，提取骨架图像上的各像素点，然后采用最大距离法计算叶片的弯曲度，通过测量叶片最高点与叶尖的垂直距离计算下垂度，最后对2种测量方法进行测试和分析。结果表明，所提出的叶片姿态测量的2种方法对样本叶片的测试准确率分别为92.4％和88.2％，能够有效描述和量化不同玉米品种的叶片弯曲程度，方法简单易行，且测量过程不需要标度校准。
위실현옥미협편자태적자동측량，침대옥미협편형태특정，제출료기우도상처리적옥미협편자태자동측량방법。수선채용질대방법대협편도상세화，제취골가도상상적각상소점，연후채용최대거리법계산협편적만곡도，통과측량협편최고점여협첨적수직거리계산하수도，최후대2충측량방법진행측시화분석。결과표명，소제출적협편자태측량적2충방법대양본협편적측시준학솔분별위92.4％화88.2％，능구유효묘술화양화불동옥미품충적협편만곡정도，방법간단역행，차측량과정불수요표도교준。
In order to realize the automatic measurement of maize leaf posture,based on the image processing technology,the automatic measuring methods of maize leaf posture were proposed and accomplished by following steps.Firstly,the image segmentation was adopted to separate the leaf from background.Secondly,an iterative method was used to refine the image and obtain the skeleton image.Thirdly,two methods were proposed to describe the posture of the maize leaves, of which,the curvature degree was calculated by maximum distance method,and the sag degree was measured by computing the vertical distance between the peak and the endpoint of leaf.At last,the two measurement methods were compared from the aspects of DUS (distinctness, uniformity and stability ) test and sample test.The results showed that the two measuring methods established in this paper were feasible and easy to realize,with the testing accuracy of 92.4% and 88.2%,respectively,which could effectively describe and quantify the curvature degree of maize leaves.Futhermore,the two methods need no calibration.