|
|||||
|
|
| CD4细胞显微图像的分析与识别研究 | |
| 引用本文： | 刘印锋,王保华,胡平,曹波.CD4细胞显微图像的分析与识别研究[J].中国医疗器械杂志,2005,29(6):419-422. |
| 作者姓名： | 刘印锋 王保华 胡平 曹波 |
| 作者单位： | 1. 上海大学通信学院,上海,200072 2. 上海理工大学,上海,200093 3. 上海市徐汇区中心医院,上海,200031 |
| 摘 要： | 介绍了CD4细胞的自动识别技术,利用图像处理技术实现了目标区域的分割,分析了形态、光密度、色彩、纹理四个方面的特征;采用主成分分析法提取特征,构建了BP网络分类器,较好的实现了CD4细胞的识别. |
| 关 键 词： | CD4细胞 图像分割 特征分析 主成分分析(PCA) BP网络分类器 |
| 文章编号： | 1671-7104(2005)06-0419-04 |
| 修稿时间： | 2005年7月6日 |
Analysis and Recognition of CD4 Cell Microscopic Image |
|
| LIU Yin-feng,WANG Bao-hua,HU Ping,CAO Bo.Analysis and Recognition of CD4 Cell Microscopic Image[J].Chinese Journal of Medical Instrumentation,2005,29(6):419-422. | |
| Authors: | LIU Yin-feng WANG Bao-hua HU Ping CAO Bo |
| Institution: | Scholl of Communication and Information Engineering, Shanghai University. |
| Abstract: | This paper introduces the technology of recognizing CD4 cell by a computer,which successfully segments the objects from the background through image processing and analyses the four features including geometric features,optical density, color and texture fea(?)cures.The method based on Principal Component Analysis algorithm is used for feature extraction, and a Back Propagation neural network classifier is constructed,from which the CD4 cell can be well recognized. |
| Keywords: | CD4 cell image segmentation feature analysis Principal Component Analysis(PCA) Back Propagation(BP)neural network classifier |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |