CAJ | 학술논문

介绍了一种变量施药的靶标识别方法，采用T-S模糊模型，根据绿色植物和背景颜色的特征值（ R、G、B）差异性，采用超绿指标[ Excess green，ExG]来区别靶标与背景的隶属度，定义了噪声和边缘隶属度函数，根据模糊推理结果，对植物叶片图像去除噪声后再进行边缘检测，可有效检测图像边缘。降低算法的复杂度，提高了效率，在抗噪性能方面能有效地避免噪声的干扰、节约时间、运算速度快。
개소료일충변량시약적파표식별방법，채용T-S모호모형，근거록색식물화배경안색적특정치（ R、G、B）차이성，채용초록지표[ Excess green，ExG]래구별파표여배경적대속도，정의료조성화변연대속도함수，근거모호추리결과，대식물협편도상거제조성후재진행변연검측，가유효검측도상변연。강저산법적복잡도，제고료효솔，재항조성능방면능유효지피면조성적간우、절약시간、운산속도쾌。
This paper introduced a method for target recognition in variable pesticide application. Based on T-S fuzzy model, according to the differences in color eigenvalues( R,G,B)between green plant and its background,this study used excess green ( ExG)indicators to distinguish the membership degree of the target and its background,and defined the membership functions of the noise and the edge. According to the results of fuzzy inference,this article conducted the edge detection of plant leaf image after removing the noise,which could effectively detect the image edge. This method reduced the complexity of the algorithm,improved the working efficiency due to less working time and high operating rate,and could effectively avoid the interference of the noise.