中文摘要：

局部二值模式（LBP）可提取模糊的射线图像纹理,但无法描述像素间灰度差异程度,不能有效区分冗余的微小灰度变化。针对上述问题,本文提出了一新型的快速纹理提取算法C-LBP。新算法首先引入复冲击滤波器对图像进行预处理,提取图像虚部数据作为下一步纹理提取的输入。然后嵌入相对光滑的比较函数来改进LBP,并考虑圆域内中心点和邻点的灰度相似距离,区别对待圆域内的灰度信息。最后,增加一计数策略,以淘汰冗余的微小灰度变化。实验证实C-LBP具有处理时间短和检测效果好双重优势,保留了对较大灰度的敏感性,增强了对灰度差异程度的描述能力,可有效增强图像、提取边缘和识别缺陷。

英文摘要：

The local binary pattern （LBP） can extract fuzzy radiographic image texture , but is unable to describe the degree of grayscale difference and distinguish redundant micro‐changes .To settle this problem ,a new kind of rapid texture extraction algorithm‐C‐LBP was put forward .First of all ,the complex shock filter was used to preprocess our image .And then the imaginary data were extracted as the next step input .The LBP was improved by a smooth compare function .In order to describe the grayscale informa‐tions distinctively ,the similarity distances between surrounding points and centric point were considered .Besides ,a counting scheme was utilized to eliminate redundant micro‐changes .The experimental results show that the C‐LBP has advantages in both process‐ing time and detecting vision .It can keep the sensitivity to the large gray level and enhance the description capacity of the grayscale difference .The C‐LBP is feasible for image enhancement ,edge extraction and defect classification .