CAJ | 학술논문

提出了一种基于图像视觉原理的水稻叶片几何形态参数测量计算方法，通过图像分割处理，统计参考物与目标叶片面积的像素数，计算叶片面积；通过求取参考物和目标叶片的最小外接矩形方法，计算叶片的长度和宽度值；利用基于4个方向模板运算的距离变换算法对茎叶夹角图像进行骨架信息提取，利用Hough变换对提取的骨架信息进行直线检测，并进行茎叶夹角计算。结果表明，该方法能够精确、快捷地对水稻叶片几何形态参数进行测量计算，与手工测量比较，叶片面积计算误差小于5％，长宽误差小于0.67％，茎叶夹角误差小于2％，能满足农学研究的要求。
제출료일충기우도상시각원리적수도협편궤하형태삼수측량계산방법，통과도상분할처리，통계삼고물여목표협편면적적상소수，계산협편면적；통과구취삼고물화목표협편적최소외접구형방법，계산협편적장도화관도치；이용기우4개방향모판운산적거리변환산법대경협협각도상진행골가신식제취，이용Hough변환대제취적골가신식진행직선검측，병진행경협협각계산。결과표명，해방법능구정학、쾌첩지대수도협편궤하형태삼수진행측량계산，여수공측량비교，협편면적계산오차소우5％，장관오차소우0.67％，경협협각오차소우2％，능만족농학연구적요구。
A measurement method of the rice leaf geometry parameter based on visual image theory was presented. The leaf area was calculated by image segmentation processing and statistical pixels of the reference objects and the target leaf area;the length and width parameters of rice leaf were calculated by finding minimum enclosing rectangle method of the reference objects and the target leaf; the skeleton information was extracted from a image of the angle between rice stem and leaf by the distance transform algorithm based on the four directions template operations, the straight lines were detected from the skeleton information by the Hough transform, and the angle between rice stem and leaf was calculated by calculating the an-gle between the straight lines. The results showed that the method can accurately and fast measure the rice leaf geometry pa-rameter, compared with manual measurement, leaf area calculation error was less than 5%, length and width error is less than 0.67%, leaf-stem angle error is less than 2%, could meet the requirements of agricultural research.