机译:通过使用腐蚀启发的细胞自动机改善纹理图像分类
Institute of Mathematics and Computer Science, University of Sao Paulo (USP), Avenida Trabalhador sao-carlense, 400, 13566-590 Sao Carlos, Sao Paulo, Brazil,Scientific Computing Group, Sao Carlos Institute of Physics, University of Sao Paulo (USP), cx 369 13560-970 Sao Carlos, Sao Paulo, Brazil;
Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure links 653, 9000 Ghent, Belgium;
Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure links 653, 9000 Ghent, Belgium;
Scientific Computing Group, Sao Carlos Institute of Physics, University of Sao Paulo (USP), cx 369 13560-970 Sao Carlos, Sao Paulo, Brazil,Institute of Mathematics and Computer Science, University of Sao Paulo (USP), Avenida Trabalhador sao-carlense, 400, 13566-590 Sao Carlos, Sao Paulo, Brazil;
Pattern recognition; Pitting corrosion; Texture classification; Cellular automata;
机译:使用带模糊逻辑的ACO对纹理和非纹理图像进行混合图像分类
机译:纹理特征的分类和选择使用监督自动属性选择算法进行图像分类
机译:通过将信号和幅度信息添加到局部纹理描述符来改善旋转图像的分类
机译:使用改进的纹理能量测量的纹理图像的无监督模糊C均值分类
机译:纹理图像的分割和分类。
机译:通过局部纹理分类在多探测器CT图像中进行机会性骨质疏松症筛查
机译:通过使用腐蚀性细胞自动机改进纹理图像分类