An academic processing and support platform focusing on journal databases, submission and review, and pre-typesetting.
蒋正帅;何洋洋
Wen Yuan (Primary School Edition) 2018 No.11
商丘工学院 河南 商丘 476000
为了提高番茄采摘机器人对成熟番茄的识别准确率,提出一种基于光照无关图和不同核函数支持向量机的方法,对自然条件下彩色番茄果实进行特征提取与分类识别试验.试验结果表明,光照无关图消除了环境中光照强度的影响,应用径向基核函数的支持向量机优于其他核函数,对番茄的识别准确率达到95.7%.
光照无关特征提取分类识别支持向量机
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Language: 中文
CN:11-9274/G
ISSN:2096-6261
Publication Frequency: 月刊
An academic processing and support platform focusing on journal databases, submission and review, and pre-typesetting.