基于贝叶斯粗糙集的图像分类方法的应用

基于贝叶斯粗糙集,引入全局增益,以此给出了贝叶斯粗糙集属性约简的另外一种算法,最后提出了一种基于颜色特征的图像分类模型及其分类算法。用该方法进行图像资源的分类,克服了经典粗糙集不宜处理带有噪声的数据和决策表不协调的分类问题的缺陷,同时又大大简化分类规则,且形成的规则集便于用户理解。

Rough Set Based on Bayesian Image Classification Method

Based on the Bayesian rough set,the introduction of the overall gain,this gives the Bayesian rough set attribute reduction algorithm for another,and finally a color-based image classification model characteristics and classification algorithm.With this method,the classification of image resources to overcome the classical rough set not to deal with noise data and decision-making table of the classification of non-conforming defects,but also greatly simplify the classification rules,the rules and the formati...