| 基于高斯混合模型的类人机器人果实辨识研究 |
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| 引用本文： | 陈宇,黄仲洋,江露,钟秋波. 基于高斯混合模型的类人机器人果实辨识研究[J]. 安徽农业科学, 2014, 0(15): 4889-4891 |
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| 作者姓名： | 陈宇 黄仲洋 江露 钟秋波 |
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| 作者单位： | 东北林业大学信息与计算机工程学院;宁波工程学院; |
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| 基金项目： | 中央高校基本科研业务费专项(2013CBQ03);黑龙江省教育厅科学技术研究项目(12513016);黑龙江省自然科学基金项目(F201347);哈尔滨市科技创新人才专项资金项目(2013RFQXJ100) |
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| 摘 要： | 针对类人机器人的特点,设计了一个具有果实辨识功能的类人机器人系统。类人机器人自带的摄像头作为视觉系统,通过视觉系统收集彩色果实图片,将RGB颜色转换成HSV颜色,结合高斯混合模型算法,通过训练得到每类果实所对应的分类器模型参数,构造分类器,实现类人机器人对果实准确高效的识别。
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| 关 键 词： | 类人机器人 辨识 HSV颜色空间 高斯混合模型算法 |
Fruit Identification Research for Humanoid Robot Based on GMM Model Algorithm |
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| Affiliation: | CHEN Yu et al (School of Information and Computer Engineering, Northeast Forestry University, Harbin, Heilongjiang 150040) |
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| Abstract: | According to the characteristics of humanoid robot,a humanoid robot system of fruit identification was designed. Robot with type camera as vision,color fruit image was collected through the visual system. The RGB images will be converted into the HSV images,combined with the GMM model algorithm,the classifier model parameters were obtained by training,the classifier was constructed,so as to realize accurate and high efficient identification of fruits by humanoid robot. |
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| Keywords: | Humanoid robot Identification HSV GMM model algorithm |
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