机译:使用DT-CWT特征提取方法基于2D纹理的组织分类,分割和3D方向估计
Department of Biomedical Engineering, Tampere University of Technology, Tampere, Finland;
Department of Biomedical Engineering, Tampere University of Technology, Tampere, Finland;
Department of Biomedical Engineering, Tampere University of Technology, Tampere, Finland;
Radiology Department, Tampere University Hospital, Tampere, Finland;
Department of Biomedical Engineering, Tampere University of Technology, Tampere, Finland;
machine learning; image DB; texture analysis; 3D orientation estimation;
机译:基于2D和半3D纹理特征与极限学习机的混合颜色纹理图像分类方法
机译:基于2D图像特征提取的最优视图选择的语义3D点云分割方法
机译:一种新的稳定非线性纹理特征提取方法基于HAMSI哈希函数替代盒的EEG信号分类方法:HAMSI模式
机译:使用DT-CWT特征提取方法基于纹理的组织分类和分段
机译:3D对象检测,实例分段和3D范围和2D彩色图像的分类
机译:非刚性基于内核的框架2D-3D姿态估计和2D图像分割
机译:一种基于区域的图像分割的快速纹理特征提取方法
机译:基于神经网络方法的纹理分类与分割