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| 基于Bag of Words的干果图像分类研究 | |
| 引用本文： | 施明登,周鹏,白铁成.基于Bag of Words的干果图像分类研究[J].安徽农业科学,2014(29):10381-10383. |
| 作者姓名： | 施明登 周鹏 白铁成 |
| 作者单位： | 1. 新疆塔里木大学信息工程学院,新疆阿拉尔843300;浙江大学计算机科学与技术学院,浙江杭州310027 2. 新疆塔里木大学信息工程学院,新疆阿拉尔843300;郑州航空工业管理学院电子通信工程系,河南郑州450015 3. 新疆塔里木大学信息工程学院,新疆阿拉尔,843300 |
| 基金项目： | 国家自然科学基金项目，国家自然科学基金项目，新疆农业信息化研究中心重点项目 |
| 摘 要： | 针对干果图像信息量大、分类精度低和耗时多的特点,提出利用Bag of Words模型提取图片的代表特征,并采用朴素贝叶斯分类器指导特征矩阵分类。结果表明,图像分类精度能达到80%,分类处理时间约为2 s。通过增加学习样本来进一步提高分类精度,将Bag of Words应用于干果图像识别和分类是可行的。 |
| 关 键 词： | 图像分类 词袋模型 朴素贝叶斯分类器 |
Research on Digital Dried Fruit Image Classification Based on Bag-of-Words Model |
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| SHI Ming-deng,ZHOU Peng,BAI Tie-cheng.Research on Digital Dried Fruit Image Classification Based on Bag-of-Words Model[J].Journal of Anhui Agricultural Sciences,2014(29):10381-10383. | |
| Authors: | SHI Ming-deng ZHOU Peng BAI Tie-cheng |
| Institution: | SHI Ming-deng, ZHOU Peng, BAI Tie-cheng( 1. College of Information Engineering, Tarim University, Mar, Xinjiang 843300 ; 2. Computer Science College, Zhejiang University, Hangzhou, Zhejiang 310027; 3. Department of Electronic and Communication Engineer- ing, Zhengzhou Institute of Aeronautical Industry Management, Zhenzhou, Henan 450015) |
| Abstract: | According to the characteristics of digital dried fruit image classification which have lots of information,weaken classification accuracy and more time-consuming,it is put forward to extract image representation using the Bag-of-Words model and to classify the feature matrix with Nave Bayes Classifier. The results showed that the accuracy was over 80%,the treatment time was 2 seconds. By increasing the learning samples to further improve the classification accuracy,the Bag of Words applied to the dried fruit image recognition and classification is feasible. |
| Keywords: | Image classification Bag-of-words model Na(i)ve Bayes Classifier |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |