文献类型：期刊文献

中文题名：一种基于Bayesian的图像分类算法

英文题名：AN IMAGE CLASSIFICATION ALGORITHM BASED ON BAYESIAN

作者：张小红[1];张倩[2]

第一作者：张小红

机构：[1]河南财政税务高等专科学校信息工程系;[2]新乡学院计算机与信息工程学院

第一机构：河南财政税务高等专科学校信息工程系,河南郑州450002

年份：2009

卷号：26

期号：9

起止页码：250-252

中文期刊名：计算机应用与软件

外文期刊名：Computer Applications and Software

收录：CSTPCD;;CSCD:【CSCD_E2011_2012】；

语种：中文

中文关键词：贝叶斯分类器;图像分类;局部特征

外文关键词：Bayesian classifier Image classification Local feature

摘要：提出了一种基于Bayesian的图像分类算法,该算法首先从原始数字图像出发,通过分析图像的特征分布特点,对图像的局部区域扫描分析,然后抽取目标图像的特征元素,得到其颜色、纹理、形状等特征,最后利用Bayesian分类器来实现图像的快速自动分类。实验结果表明,该算法能够有效提取图像的局部特征,从而快速、准确地实现图像分类。
In this paper, we present an image classification algorithm based on Bayesian. Proceeding from primary digital image, after analysing the distribution characters of image features and scanning local area of image for analysing, the features elements of the Objective image were extracted and the features like colour, texture and shape, etc. ,were got. At last, Bayesian classifier was used to classify images fast and automatically. Experimental result indicates that this algorithm could effectively extract the local feature of the image, so the classification of images was fast and accurate.