[1]周光泉,姜璐,罗立民,等.基于内容的彩色细胞图像检索[J].东南大学学报(自然科学版),2004,34(5):669-674.[doi:10.3969/j.issn.1001-0505.2004.05.024]
 Zhou Guangquan,Jiang Lu,Luo Limin,et al.Content based color cell image retrieval[J].Journal of Southeast University (Natural Science Edition),2004,34(5):669-674.[doi:10.3969/j.issn.1001-0505.2004.05.024]
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基于内容的彩色细胞图像检索()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
34
期数:
2004年第5期
页码:
669-674
栏目:
计算机科学与工程
出版日期:
2004-09-20

文章信息/Info

Title:
Content based color cell image retrieval
作者:
周光泉 姜璐 罗立民 鲍旭东
东南大学生物科学与医学工程系, 南京 210096
Author(s):
Zhou Guangquan Jiang Lu Luo Limin Bao Xudong
Department of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
关键词:
基于内容的图像检索 白细胞 图像分割 相关反馈
Keywords:
content based imgage retrieval leukocyte image segmentation relevance feedback
分类号:
TP391.41
DOI:
10.3969/j.issn.1001-0505.2004.05.024
摘要:
提出了一种结合颜色、纹理和形状特征的细胞病理图像检索方法.首先,运用K-均值聚类方法提取出细胞核,并且采用多域值分割算法去除细胞图像中的背景区域.提取的特征包括颜色、纹理和形状等,这些特征能很好地表征单核细胞的主要特性.由于提取的特征数值范围以及物理意义不尽相同,对特征进行了归一化处理.最后提出了相关的反馈系统.该系统可以自动地调整不同特征的权值,提高了图像检索的准确率.运用该方法进行细胞图像的检索更符合人的视觉感觉要求,比仅仅提取一个特征的方法更加准确.
Abstract:
A new method for pathology image retrieval by combining color, texture and morphologic features to search cell images is proposed. Firstly, nucleus regions of leukocytes in images are automatically segmented by K-mean clustering method. Then single leukocyte region is detected by utilizing thresholding algorithm segmentation. The features that include color, texture and morphologic features are extracted from single leukocyte to represent main attribute in the search query. The features are then normalized because the numerical value range and physical meaning of extracted features are different. Finally, the relevance feedback system is introduced. This system can automatically adjust the weights of different features and improve the results of retrieval system according to the feedback information. Retrieval results using the proposed method fit closely with human perception and are better than those obtained with the methods based on single feature.

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备注/Memo

备注/Memo:
作者简介: 周光泉(1978—),男,硕士生; 罗立民(联系人), 男, 博士, 教授,博士生导师, luo.list@seu.edu.cn.
更新日期/Last Update: 2004-09-20