CAJ | 학술논문

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.
국부이원모식(LBP)시일충유효적도상국부문리묘술산자,유우기구유량호적선전불변성이피엄범응용우도상처리、계산궤시각등영역.본문착중분석LBP문리특정적상관특성,병재기기출상진행괄당개진,제출균균삼모괴국부이원모식(UTPLBP)급기이차통계량문리특정,탐색기재도상분할응용중적가행성.실험결과표명,침대Brodatz문리합성도상,이용UTPLBP산자제취대분할도상적문리특정,재SVM분류기하진행도상분할,UTPLBP문리산자능구흔호적묘술도상적문리신식,기이차통계량문리특정로봉성강병능대불동문리도상진행정학구분.상비전통법,본문방법정학솔균재93%이상.
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.