Classification of urinary sediments image based on Bayesian classifier

被引：5
|
作者：
Dong, Liyan [1 ]
Yuan, Senmiao [1 ]
Liu, Guangyuan [1 ]
Zhou, Lingyan [1 ]
Li, Yongli [2 ]
机构：
[1] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Peoples R China
[2] Northeast Normal Univ, Sch Comp, Changchun 130024, Peoples R China
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS I-V, CONFERENCE PROCEEDINGS | 2007年
基金：
中国国家自然科学基金;
关键词：
Bayesian classifier; image classification; feature extraction; feature selection;
D O I：
10.1109/ICMA.2007.4303603
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper a new method of classification of image in medical domain was introduced. Since the traditional way of diagnosis is slow, time-consuming and heavy-workload, the result is largely influenced by the experience of doctor. The new way of classification can largely improve the efficiency and accuracy in diagnosis. The method is based on Naive Bayesian classification. After distinguishing the visible compositions, feature extraction and feature selection, we can get a naive Bayesian classifier which can be used in classifying of object entities. Experiments show that the new method is suitable for image classification.
引用
收藏
页码：556 / +
页数：2
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