CAJ | 학술논문

将计算机视觉技术应用于脐橙病害的监测,实现了脐橙溃疡病的自动识别.基于HSV颜色模型,分析了脐橙叶子的色调分布;应用数学形态学算子,获取疑似脐橙溃疡病病斑;再利用脐橙溃疡病病斑图像的纹理特征,进行脐橙溃疡病的确认.实验结果表明,提出的方法能较好地识别出脐橙溃疡病病斑.
장계산궤시각기술응용우제등병해적감측,실현료제등궤양병적자동식별.기우HSV안색모형,분석료제등협자적색조분포;응용수학형태학산자,획취의사제등궤양병병반;재이용제등궤양병병반도상적문리특정,진행제등궤양병적학인.실험결과표명,제출적방법능교호지식별출제등궤양병병반.
The paper applies computer vision technology to monitor navel orange di seases and pests,and implements the automatic Recognition of the navel orange c anker.Firstly,analyze the hue distribution of navel orange leaves using HSV co lor model.Next,extract suspected navel orange canker lesion using mathematical morphology operators.Finally,confirm the navel orange canker by navel orange canker lesion image texture features.Experimental results show that the propose d method can be used to identify the navel orange canker lesion effectively.