机译:基于K均值聚类技术的基于内容的图像检索方法
Moulay Ismail University, Faculty of Sciences and technology, Department of Computer Science, ASIA Team M2I Laboratory, Meknes, Morocco;
Moulay Ismail University, Faculty of Sciences and technology, Department of Computer Science, ASIA Team M2I Laboratory, Meknes, Morocco;
Moulay Ismail University, Faculty of Sciences and technology, Department of Computer Science, ASIA Team M2I Laboratory, Meknes, Morocco;
Moulay Ismail University, Faculty of Sciences and technology, Department of Computer Science, ASIA Team M2I Laboratory, Meknes, Morocco;
CBIR; Classification; K-Means; Segmentation; Similarity Measure;
机译:使用分层和K均值聚类技术的基于内容的图像检索
机译:基于加权特征和K-均值聚类的基于内容的资产管理图像检索
机译:基于灰度共生矩阵和K-Means聚类算法的基于内容的具有纹理内容的医学图像检索
机译:基于颜色直方图的基于内容的图像检索技术的比较分析:以GLCM和K-Means聚类为例
机译:将信息检索技术应用于基于文本的图像检索方法的有效性研究
机译:基于视觉袋模型的基于内容的有效图像检索技术
机译:基于灰度共生矩阵和K-Means聚类算法的基于内容的具有纹理内容的医学图像检索