Automatic retrieval of microscopic blood cells images

被引：0
|
作者：
Selvanathan, N. [1 ]
Yun, Lee Shi [1 ]
Sankupellay, Mangalam [1 ]
Purushothaman, V. [2 ]
Jameelah, S. [2 ]
机构：
[1] Univ Malaya, Kuala Lumpur, Malaysia
[2] Gen Hosp, Kuala Lumpur, Malaysia
来源：
3RD KUALA LUMPUR INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING 2006 | 2007年 / 15卷
关键词：
content based image retrieval; blood cell images;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The research explores various methods to retrieve microscopic blood cell image on the basis of features automatically extracted from the image. The query image is selected from a large collection of blood cell image. After the region of interest is selected from the image, Query by Image Content (QBIC) catalog is used to measure the low level attributed of the query image such as average color, histogram color, positional color and texture. The low level attributes are used to find matching image in the DB2 (DataBase 2 by IBM) database. The most accurate and relevant blood cell images are retrieved along with the description of the blood disorder.
引用
收藏
页码：245 / +
页数：3
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