机译:基于训练的梯度LBP特征模型用于多分辨率纹理分类
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China;
National Computer Network Emergency Response Technical Team Coordination Center of China, Beijing, China;
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China;
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China;
Image resolution; Feature extraction; Histograms; Robustness; Training; Computational modeling; Cybernetics;
机译:评估花岗岩纹理分类中LBP,CCR和ILBP特征旋转的鲁棒性
机译:基于局部灰度值分布的中央像素选择策略,利用梯度信息增强LBP进行纹理分类
机译:2D-LBP:用于纹理图像分类的增强型本地二进制特征
机译:Spoke-LBP和ring-LBP:用于组织分类的新纹理功能
机译:旋转不变多分辨率纹理分类
机译:使用多分辨率分析和线性回归建模比较各种纹理分类方法
机译:通过多分辨率分解技术对纹理进行分割,分类和建模