| 红毛丹色泽品质的计算机视觉分级技术研究 |
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| 引用本文： | 章程辉,刘木华,王群.红毛丹色泽品质的计算机视觉分级技术研究[J].农业工程学报,2005,21(11):108-111. |
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| 作者姓名： | 章程辉 刘木华 王群 |
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| 作者单位： | 中国热带农业科学院分析测试中心,海口,571101;中国农业大学食品科学与营养工程学院,北京,100083;江西农业大学工学院,南昌,330045;中国农业大学食品科学与营养工程学院,北京,100083 |
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| 基金项目： | 科技部2004年度科研院所社会公益研究专项资金项目(2004DIB5J172) |
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| 摘 要： | 应用计算机视觉研究了红毛丹外观色泽品质的分级检测技术。通过CCD采集红毛丹可见光图像，经OSTU分割算法来分割图像背景后，采用面积标记算法得到去除长穗梗区域的红毛丹图像；然后提取基于色度的红毛丹图像的彩色纹理特征，并用多分类支持向量机的模式识别方法来识别红毛丹色泽等级。结果表明，该模型对4个色泽等级的红毛丹的正确分类率分别是94%、88%、89%和95%,且具有较好的稳定性。与人工神经网络方法预测结果比较，该方法具有速度快、识别能力强的特点。
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| 关 键 词： | 红毛丹 图像处理 色泽 支持向量机 |
| 文章编号： | 1002-6819(2005)11-0108-04 |
| 收稿时间： | 2004-12-31 |
| 修稿时间： | 2005-06-19 |
Determination of color quality of rambutan based on computer vision |
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| Zhang Chenghui,Liu Muhua and Wang Qun.Determination of color quality of rambutan based on computer vision[J].Transactions of the Chinese Society of Agricultural Engineering,2005,21(11):108-111. |
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| Authors: | Zhang Chenghui Liu Muhua and Wang Qun |
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| Institution: | 1. Analysis and Testing Center, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China; 2. College of Engineering, Jiang xi Agricultural University, Nanchang 330045, China; 3. College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China |
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| Abstract: | In view of drawbacks of rambutan grade identification, which still relies on human sensory evaluation, the determination of color quality of rambutan based on computer vision was studied. The images of ranbutan were obtained by CCD camera. Image processing algorithm of OSTU and area labeling were applied to 48 rambutan images in order to remove the images of background and stem, and the texture features of color and lustre were extracted. A multi-grade support vector machine (DAGSVM) was set up, and color and lustre features were the inputs of DAGSVM. The results show that the accuracies of four color grades rambutan recognized by SVM model were 94%, 88%, 89%, 95% respectively with good stability. The identification speed and ability of this model are much superior to algorithm neural network. |
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| Keywords: | Rambutan image processing color and lustre support vector machine |
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