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基于多尺度空间滤波和l1范数最近邻分类的乳腺图像微钙化点检测
引用本文:胡正平,刘敏华.基于多尺度空间滤波和l1范数最近邻分类的乳腺图像微钙化点检测[J].电路与系统学报,2011,16(1):85-91.
作者姓名:胡正平  刘敏华
作者单位:燕山大学,信息科学与工程学院,河北,秦皇岛,066004
基金项目:国家自然科学基金,河北省自然科学基金,中国博士后自然科学基金,第二批中国博士后基金特别资助
摘    要:钙化信息是乳腺癌早期诊断的一个重要依据,针对钙化点检测检出率较低和假阳性较高的问题,提出一种基于多尺度空间滤波和l1范数最近邻分类的乳腺图像微钙化点检测算法.首先利用多尺度空间滤波方法得到原图像的多尺度显著特征图,然后通过基于人眼视觉特性的钙化点分割方法得到粗检测钙化点的二值图像,并送入l1范数最近邻分类器去除假阳性点...

关 键 词:微钙化点检测  多尺度变换  l1范数最近邻分类器  乳腺图像

The microcalcifications detection of mammograms based on multi-scale space filtering and l_1 norm nearest-neighbor classifier
HU Zheng-ping,LIU Min-hua.The microcalcifications detection of mammograms based on multi-scale space filtering and l_1 norm nearest-neighbor classifier[J].Journal of Circuits and Systems,2011,16(1):85-91.
Authors:HU Zheng-ping  LIU Min-hua
Affiliation:HU Zheng-ping,LIU Min-hua(College of information science and engineering,Yanshan University,Qinhuangdao 066004,China)
Abstract:The microcalcification information is an important foundation for the diagnosis of breast cancer.In order to improve the problem of true-positive and false-positive in microcalcifications detection,a novel microcalcifications detection algorithm of mammograms based on multi-scale space filtering and l1norm nearest-neighbor(l1-NN) classifier is proposed.Firstly the multi-scale salience feature images are obtained by using multi-scale space filtering for original images,then the coarse detected binary image o...
Keywords:microcalcifications detection  multi-scale transformation  l1norm nearest-neighbor classifier  mammograms  
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