CAJ | 학술논문

提出了一种基于韦伯局部特征（WLD）的纹理分类方法。韦伯定律证明了人眼感知能力不仅与刺激的改变相关还与刺激的原始大小相关。而韦伯局部特征正是基于这个原理所设计的，能够很好的反映出纹理的特征。实验表明利用韦伯局部特征进行纹理分类效果明显好于利用其它的图像特征。
제출료일충기우위백국부특정（WLD）적문리분류방법。위백정률증명료인안감지능력불부여자격적개변상관환여자격적원시대소상관。이위백국부특정정시기우저개원리소설계적，능구흔호적반영출문리적특정。실험표명이용위백국부특정진행문리분류효과명현호우이용기타적도상특정。
This paper proposed out a texture classification algorithm based on Web Local Descriptor (WLD). WLD is based on the Weber’s Law that human perception of a pattern depends on not only the change of a stimulus but also the original intensity of the stimulus. Experimental results show that WLD impressively outperforms the other classical descriptors on texture classification.