• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Computers and Electronics in Agriculture >A method for accurately segmenting images of medicinal plant leaves with complex backgrounds
【24h】

A method for accurately segmenting images of medicinal plant leaves with complex backgrounds

机译：复杂背景中精确分割药用植物叶片图像的方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The paper proposes a relatively accurate method of segmenting the leaf images of medicinal plants with complex backgrounds. The method directly takes photos of leaves on branches for the purpose of machine identification and protects the plant from leaf picking; but it also encounters higher difficulties in segmentation as branches, soil and other leaves appear inevitably in the background. On the basis of introducing user interaction when appropriate, we refer to and extend the OTSU concept to accurately detect adjacent outer points of the leaf corresponding to each manually marked edge point of the leaf. Afterwards, these points are selectively connected in a way that is close to but not going through the leaf edge as practically as possible so as to obtain background markers that are close to the leaf edge but correctly located outside the leaf. Last but not the least, by combining the foreground and background markers, we adopt the marker-based watershed segmentation method to obtain the correct segmentation result. As shown from test results based on the self-built database 1 consisting of 440 leaf images with complex backgrounds of 88 species of plants and the widely applied database 2 consisting of 232 leaf images with complex backgrounds, the method leads to a better result in five indexes like Precision and Recall, and is one upon the reported methods.
机译：本文提出了一种相对准确的方法，将药用植物的叶片图像分割有复杂的背景。该方法直接拍摄树枝上的叶片，以便机器识别和保护植物免受叶子拣选;但它也遇到了作为分支，土壤和其他叶片的细分困难在背景中似乎不可避免地出现。在适当时引入用户交互的基础上，我们参考并扩展OTSU概念，以精确地检测与叶子的每个手动标记的边缘点对应的叶片的相邻外部点。之后，这些点以靠近但不正常通过叶边缘的方式选择性地连接，以便获得靠近叶边缘但正确位于叶子外部的背景标记。最后但并非最不重要的是，通过组合前景和背景标记，我们采用基于标记的流域分段方法来获得正确的分段结果。如从基于自制数据库1组成的测试结果所示，由具有88种植物的复杂背景和由带有复杂背景组成的332个叶片图像组成的440个叶片图像和广泛应用的数据库2组成，该方法导致五个更好的结果索引如精度和召回，并且是报告的方法之一。

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