计算机科学 ›› 2019, Vol. 46 ›› Issue (3): 125-130.doi: 10.11896/j.issn.1002-137X.2019.03.018
刘晓虹,朱玉全,刘哲,宋余庆,朱,彦,袁德琪
LIU Xiao-hong, ZHU Yu-quan, LIU Zhe, SONG Yu-qing, ZHU Yan, YUAN De-qi
摘要: 针对高阶方向导数局部二值模式(DLBP)算法会丢失部分高尺度邻域信息的缺陷,提出一种基于改进多尺度LBP算法(MSLBP)的肝脏CT图像特征提取方法。该方法首先对肝脏CT图像进行预处理,并提取正异常ROI区域,然后利用改进的多尺度LBP特征提取方法提取特征,将高阶尺度采样点信息融合其邻域相关点信息作为该采样点的最终信息参与运算,同时利用对角线区域求平均操作,突出了邻域像素点之间的关系特征,从更大范围描述肝脏图像的纹理信息,最后进行分类。实验结果表明:所提方法的准确率可达到90.1%,相比原始的LBP特征提取方法提高了8.7%,有一定的临床应用意义,可用于医生的辅助诊断。
中图分类号:
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