射线图像的快速纹理提取算法.pdfVIP

Vol No Atomic Energy Science and Technology May LBP CLBP LBP CLBP TP A doi zk y Fast Texture Extraction Algorithm for Radiographic Image QIAO Shuang LI Jian SUN Jianing School of Physics Northeast Normal University Changchun China M athematics Statistics School Northeast Normal University Changchun China Abstract The local binary pattern LBP can extract fuzzy radiographic image texture but is unable to describe the degree of grayscale difference and distinguish redundant microchanges To settle this problem a new kind of rapid texture extraction algorithm CLBP 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 CLBP is feasible for image enhancement edge extraction and defect classification YQ RB Email sunjn nenu edu cn