肋骨皮质纹理特征提取分类算法设计  

Design of texture feature extraction and classification algorithm for rib cortex

作　　者：邬志强[1] 李大辉[2] 

机构地区：[1]齐齐哈尔大学理学院,黑龙江齐齐哈尔161006 [2]齐齐哈尔大学计算机与控制工程学院,黑龙江齐齐哈尔161006

出　　处：《高师理科学刊》2016年第6期34-37,共4页Journal of Science of Teachers＇College and University

摘　　要：肋骨的皮质纹理特征是判断骨折的重要依据.提出了肋骨皮质纹理特征提取与分类算法,利用Canny算子图像进行预处理,利用Gabor小波实现纹理特征提取,利用KPCA完成降维和分类.实验结果表明,该算法得到的肋骨纹理特征提取与分类,提高了肋骨骨折的诊断率.The texture feature of rib X-ray is important basis for fracture judgment.An algorithm is presented for the ribs texture feature extraction and classification.Utilize Canny operator to process rib X-ray.Use the Gabor wavelet to realize the texture feature extraction and KPCA to complete the reduction dimension and classification.The experimental results is shown the texture feature extraction and classification of the algorithm will improve the diagnostic rate of rib fracture.

关 键 词：纹理特征分类 医学图像 CANNY算子 GABOR小波 KPCA 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]