摘要
计算机图像识别技术的研究与应用是农业信息技术领域的重要分支之一。为更好的将其应用到虚拟作物中,用RGB系统表示叶色,利用虚拟现实技术中的光照技术,将太阳光分为环境光、漫射光和镜面光3部分,分别研究了这3部分光对叶色的影响,并根据颜色和太阳光的内在联系,建立了小麦叶片颜色的识别模型。检验表明,模型具有较高的准确性和较强的预测性。
The study and application of leaf colour identifying technology using computer vision is one of the most important branches in the field of agricultural information technology. In order to apply it to virtual crop better, RGB system was introduced to identify wheat leaf colour. By using the light treatment technology in virtual reality technology, the sunlight was divided into three parts as environment light, diffusion light and lens light, and the effects of these three parts of light on leaf colour were simulated. According to the intrinsic relationship between colour and the sunlight, the model for identifying the wheat leaf colour was developed. This model is characterized with high accuracy and strong predicability, according to the verification.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2004年第4期143-145,共3页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家自然科学基金重点项目(30030090)
国家"863"计划重复8:0010:0012:0014:0016:0018:00项目(2003AA209030)资助
关键词
叶色识剐
模型
环境光
漫射光
镜面光
leaf colour identifcation
model
environment light
diffusion light
lens light
