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一种基于Bayesian的图像分类算法
引用本文:张小红,张倩. 一种基于Bayesian的图像分类算法[J]. 计算机应用与软件, 2009, 26(9): 250-252
作者姓名:张小红  张倩
作者单位:1. 河南财政税务高等专科学校信息工程系,河南,郑州,450002
2. 新乡学院计算机与信息工程学院,河南,新乡,453000
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.

关 键 词:贝叶斯分类器  图像分类  局部特征

AN IMAGE CLASSIFICATION ALGORITHM BASED ON BAYESIAN
Zhang Xiaohong,Zhang Qian. AN IMAGE CLASSIFICATION ALGORITHM BASED ON BAYESIAN[J]. Computer Applications and Software, 2009, 26(9): 250-252
Authors:Zhang Xiaohong  Zhang Qian
Affiliation:Department of Comuputing Information Project;Henan College of Finance and Taxation;Zhengzhou 450002;Henan;China;College of Computer and Information Engineering;Xinxiang University;Xinxiang 453000;China
Abstract:
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 fe...
Keywords:Bayesian classifier Image classification Local feature  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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