方向测度及其在纹理识别中的应用

DIRECTION MEASURE AND ITS APPLICATION TO TEXTURE CLASSIFICATION

在一均匀的纹理图象中沿任何一个方向象素的灰度变化都服从一定的规律。依据这个特点,本文提出一种新的纹理统计特征——方向测度。方向测度能够提取纹理的二阶及高阶统计特征。高阶方向测度对自然纹理具有很高的识别率。另外方向测度的计算量小,运算结构简单,利于多机并行处理。

A new texture feature called direction measure is proposed in this paper. It is based on the principle that in a homogeneous texture the gray values of pixels along any direction must change according to a certain regularity (deterministic or stochastic). Direction measure has many different forms such as first-order direction measure, second-order direction measure and high-order direction measure. These different forms of direction measure can extract firstorder, second-order, and high-order statistical properties of image textures. Usually, the highorder direction measure is more effective than other direction measures, and has a very high classification rate for many kinds of textures. The derivation of direction measures only needs additions, substractions and multiplications. So less computational requirement is another advantage of direction measures.