• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Soft Computing and Pattern Recognition >MedLeaf: Mobile Biodiversity Informatics Tool for Mapping and Identifying Indonesian Medicinal Plants
【24h】

MedLeaf: Mobile Biodiversity Informatics Tool for Mapping and Identifying Indonesian Medicinal Plants

机译：Medleaf：移动生物多样性信息学工具，用于映射和识别印度尼西亚药用植物

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

We presents a mobile biodiversity informatics tools for identifying and mapping Indonesian medicinal plants. The system - called MedLeaf - has been developed as a prototype data resource for documenting, integrating, disseminating, and identifying of Indonesian medicinal plants. Identification of medicinal plant is done automatically based on digital image processing. Fuzzy Local Binary Pattern (LBP) and geometrical features are used to extract leaves features. Probabilistic Neural Network is used as classifier for discrimination. Data set consist of 85 species of Indonesian medicinal plants with 3,502 leaves digital images. Our results indicate that combination of leaves features outperform than using single features with accuracy 88.5%. The distribution of medicinal plants can be shown on mobile phone using GIS application. The application is essential to help people identify the medicinal plants and disseminate information of medicinal plants distribution in Indonesia.
机译：我们介绍了一种用于识别和映射印度尼西亚药用植物的移动生物多样性信息工具。已经开发了系统所谓的MedLeaf - 作为用于记录，整合，传播和识别印度尼西亚药用植物的原型数据资源。基于数字图像处理自动完成药用植物的鉴定。模糊本地二进制模式（LBP）和几何特征用于提取叶子特征。概率神经网络用作歧视的分类器。数据集由85种印度尼西亚药用植物，3,502种叶子数码图像。我们的结果表明，叶子的组合比使用单一特征，精度为88.5％。可以使用GIS应用在手机上显示药用植物的分布。该应用对于帮助人们确定药用植物并传播印度尼西亚药用植物分布的信息。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号