中文摘要：

局部二元模式（LBP）是一种有效的图像局部纹理描述算子,由于其具有良好的旋转不变性而被广泛应用于图像处理、计算机视觉等领域。本文着重分析LBP纹理特征的相关特性,并在其基础上进行适当改进,提出均匀三模块局部二元模式（UTPLBP）及其二次统计量纹理特征,探索其在图像分割应用中的可行性。实验结果表明,针对Brodatz纹理合成图像,利用UTPLBP算子提取待分割图像的纹理特征,在SVM分类器下进行图像分割,UTPLBP纹理算子能够很好的描述图像的纹理信息,其二次统计量纹理特征鲁棒性强并能对不同纹理图像进行正确区分。相比传统法,本文方法正确率均在93%以上。

英文摘要：

Local Binary Pattern（LBP） is a kind of effective local texture description operator,which is widely used in many fields,like image processing,machine vision,etc,for its excellent rotation invariance.This paper mainly analyzes and improves the characteristics of LBP texture features,puts forward the Uniform Three-Patch LBP（UTPLBP） secondary statistic texture features and explores its application in the image segmentation.Regarding Brodatz texture image,UTPLBP operator is used to extract its texture features,and then the image is segmented by Support Vector Machine（SVM） algorithm.Experiment result demonstrates that UTPLBP operator can describe image texture information accurately and its secondary statistic texture features with strong robustness can distinguish different texture image.Compared with the traditional methods,the accuracy is better than ninety-three percent.