基于SVM的白细胞识别研究
首发时间:2010-05-06
摘要:白细胞在人体血液中起着至关重要的作用,对白细胞的研究现在越来越多。白细胞的自动分割和识别是计算机图像处理和模式识别在医学图像领域应用的一个重要研究课题,有着举足轻重的临床诊断意义。本文系统回顾了白细胞识别的方法并进行了讨论。近年来,人们越来越重视对各种白细胞的分类识别研究,并期望获得一种实时性、鲁棒性较好的算法。
关键词: 白细胞识别 支持向量机(SVM) 核函数 最大信息熵
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White blood cells recognition based on SVM
Abstract:White blood cells in the human body plays a vital role, researching on white blood cells is now more and more. Automatic segmentation and identification of white blood cells is the computer image processing and pattern recognition applications in the field of medical images, which is an important research topic, having important clinical significance. This paper systematically reviewed the method of identifying white blood cells and discussed. In recent years, there is growing emphasis on the classification of the various white blood cells, and expect to get a real-time nature of the algorithm.
Keywords: White blood cells recognition Support vector machine (SVM) Kernel function Maximum entropy
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