In this paper, combined image descriptors that can improve the performance of similar crop disease image retrieval system are suggested. When combining desc'/>
机译:同类作物疾病图像检索组合描述符的性能分析
Department of Computer Engineering Sejong University;
Science &
Technology Policy Division Ministry of Agriculture Food and Rural Affairs;
Department of Computer Engineering Sejong University;
Department of Computer Engineering Sejong University;
Department of Computer Engineering Sejong University;
Department of Computer Engineering Sejong University;
Department of Computer Engineering Sejong University;
Department of Computer Engineering Sejong University;
Combined descriptors; CBIR; Crop disease diagnosis;
机译:同类作物疾病图像检索组合描述符的性能分析
机译:用于图像检索的各种局部和全局形状描述符的性能分析
机译:结合改进的颜色直方图和对角对称共现纹理图案的图像检索新特征描述符
机译:基于改进倒排索引的作物病害图像检索方法
机译:结合局部描述符并使用LSH进行有效的图像检索。
机译:ImageMiner:使用基于内容的图像检索高性能计算和网格技术对组织微阵列进行比较分析的软件系统
机译:基于内容的图像检索与JpEG编码查询图像的各种特征检测器 - 描述符组合的性能比较
机译:作为基于ColorHistogram的图像检索组件的Faugeras颜色空间性能分析