基于小波变换及布朗分形模型的纹理分割

基于小波变换及布朗分形模型的纹理分割 TEXTURE SEGMENTATION BASED ON WAVELET TRANSFORM AND BROWNIAL FRACTAL MODEL 王思贤 Wang Sixian 1 first-author 江筱炳 Jiang Xiaobing 1 廖孟扬 Liao Mengyang 1 武汉大学电子信息学学院 武汉大学电子信息学学院 College of Electronic Imformation,Wuhan University College of Electronic Imformation,Wuhan University 在研究小波变换及布朗分形模型的基础上，定义了水平分维数，垂直分维数，对角分维数，并将它们作为纹理特征量来实现纹理的分割．实验结果表明，这些特征量能够很好地反映纹理特征，从而分割时不需有关图象中纹理类别的先验信息，较以往方法在准确度和计算复杂程度上都有很大提高． Based on research of wavelet transform and Brownial fractal model, the paper defines horizon fractal dimension, vertical fractal dimension and diagonal fractal dimension as texture features to perform texture segmentation. Experimental study has shown the features are effective and the approach can well perform texture segmentation without any prior information about texture kinds in a image. It yields high accuracy and.less calculation. 小波变换 布朗分形模型 分维数 纹理分割 wavelet transform brownial fractal model fractal dimension texture segmentation TP391.41 1998-01-01 2021-04-01 1