摘要: 采用先进的计算机图像处理与分析技术完成白细胞分类计数是辅助诊断血液疾病的重要方法。各种白细胞间的纹理差异较大，纹理是区分白细胞的重要特征之一。局部二进制模式(local binary pattern，LBP)是一种有效的纹理描述算子。本研究提出了一种提取细胞的改进LBP特征用于白细胞分类识别的算法。首先，用小波变换对图像进行分解并重构，获得四幅不同频率的分量图，对其中的低频信号采用离散余弦变换。此后，用可变大小的子窗口对变换后的图像扫描，并根据不同区域赋以权值，获取改进的LBP特征，构成加权直方图。这种特征既能反映细胞局部特征又能反映整体特征。根据测试样本和模板的LBP特征直方图之间的马氏距离构建分类器。根据这种改进LBP特征有效地实现了白细胞的5种分类，得到了令人满意的分类正确率。实验结果表明:本研究提出的算法能有效地区分不同类的白细胞;与其他一些算法相比，提高了分类的精确度。

    关键词: 白细胞分类;局部二进模式;离散小波变换;离散余弦变换;马氏距离

    Leukocyte Classification Based On an Enhanced Local Binary Pattern Feature

    ZHOU Ying-ying，ZHOU Zhen-yu，SUN Ning，BAO Xu-dong

    (Laboratory of Image Science and Technology，Southeast University，Nanjing Jiangsu210096，China;Department of Biomedical Engineering，Southeast University，Nanjing210096;Department of Radio Engineering，Southeast University，Nanjing210096)

    Abstract:Classification and counting of leukocyte types，by dint of the advanced computer technology for image processing and analysis，is of great importance due to its crucial role in study of assistant diagnosis of blood diseases.Leukocytes are different in texture which is one of the important features in cell classification.Local binary pattern(LBP)is an efficient operator because of its excellent capability of description of local texture.Here ......