摘要
为了构建人机识别纹理方向性模型,提出了一种图像全局纹理方向性的度量算法。首先,设计Gabor滤波器以减小次要方向分量,增强描述纹理的全局方向性分量。然后,构造局部边缘概率直方图,描述纹理方向性的整体分布,定量给出全局方向性度量值。最后,在Tamura纹理模型实验集以及Brodatz纹理图像库上,测试比较了用不同测度算法度量全局纹理方向性的精度。结果显示,在两类纹理图像库上所获得的测试值均与人类视觉感知保持了较高的一致性,其精度比其它算法可高出10%,表明论文所提的全局纹理方向性度量算法可以满足精度要求更高的人机纹理识别模型。
In order to construct a reference model of human-machine identification texture direction,a metric algorithm for global texture direction is proposed.Firstly,a Gabor filter is designed to reduce the component less important direction and enhance that of global direction for description texture.Then,the histogram of local edge probability is constructed to describe the distribution of global texture and to give a quantitative value of measurement.Finally,the proposed algorithm is applied to comparing the accuracy of two experimental data sets from Tamura Texture Model and Brodatz texture database.Results indicate that the accuracy of the algorithm is well consistent with that of human visual perception measurement,and it is higher 10% than that of other algorithms.The algorithm can satisfy the requirements of a better reference model of human-machine identification texture direction for the higher precision.
出处
《光学精密工程》
EI
CAS
CSCD
北大核心
2010年第7期1668-1674,共7页
Optics and Precision Engineering
基金
国家自然科学基金资助项目(No.60863010)
