Leaf recognition based on PCNN
文献类型：期刊论文
| 作者 | Wang, Zhaobin1,2; Sun, Xiaoguang1; Zhang, Yaonan2; Ying, Zhu3; Ma, Yide1 |
| 刊名 | NEURAL COMPUTING & APPLICATIONS
 |
| 出版日期 | 2016-05-01 |
| 卷号 | 27期号:4页码:899-908 |
| 关键词 | Feature extraction Image processing Plant recognition PCNN |
| ISSN号 | 0941-0643 |
| DOI | 10.1007/s00521-015-1904-1 |
| 通讯作者 | Zhang, Yaonan(yaonan@lzb.ac.cn) |
| 英文摘要 | Plant is closely related to humans. How to quickly recognize an unknown plant without related professional knowledge is a huge challenge. With the development of image processing and pattern recognition, it is available for plant recognition based on the technique of image processing. Pulse-coupled neural network is a powerful tool for image processing. It is widely applied in the field of image segmentation, image fusion, feature extraction, etc. Support vector machine is an excellent classifier, which can finish the complex task of data exploration. Based on these two techniques, a novel plant recognition method is proposed in this paper. The key feature is the entropy sequence obtained by pulse-coupled neural network. Other ancillary features can be computed directly by mathematical and morphological methods. Both key feature and ancillary features are employed to represent the unique feature of one plant. Support vector machine in our method is taken as the classifier, which can implement the multi-class classification. Experimental results show that the proposed method can finish the task of plant recognition effectively. Compared with the existing methods, our proposed method has better recognition rate. |
| 收录类别 | SCI |
| WOS关键词 | PLANT-SPECIES IDENTIFICATION ; NETWORKS |
| WOS研究方向 | Computer Science |
| WOS类目 | Computer Science, Artificial Intelligence |
| 语种 | 英语 |
| WOS记录号 | WOS:000374578800008 |
| 出版者 | SPRINGER |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2557323 |
| 专题 | 寒区旱区环境与工程研究所 |
| 通讯作者 | Zhang, Yaonan |
| 作者单位 | 1.Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Gansu, Peoples R China 2.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Gansu, Peoples R China 3.Gansu Acad Sci, Inst Biol, Lanzhou 730000, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Zhaobin,Sun, Xiaoguang,Zhang, Yaonan,et al. Leaf recognition based on PCNN[J]. NEURAL COMPUTING & APPLICATIONS,2016,27(4):899-908. |
| APA | Wang, Zhaobin,Sun, Xiaoguang,Zhang, Yaonan,Ying, Zhu,&Ma, Yide.(2016).Leaf recognition based on PCNN.NEURAL COMPUTING & APPLICATIONS,27(4),899-908. |
| MLA | Wang, Zhaobin,et al."Leaf recognition based on PCNN".NEURAL COMPUTING & APPLICATIONS 27.4(2016):899-908. |
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来源：寒区旱区环境与工程研究所
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