带有确定度的模糊图像分类

Fuzzy Image Classification with a Certain Degree

提出带有确定度的关联度的图像模糊分类新方法。该方法在求得每幅图像相对各个图像类别的关联度基础上,求得一幅图像相对各个类别的确定度,将一幅图像的确定度作为相应图像关联度的权,以带权的关联度为最大准则,确定待识别图像类别的属性。识别图像类别的第二个准则是,以带有确定度的关联度为特征,采用与聚类中心距离最小准则,确定待识别图像的类别。通过由三种不同类别图像组成的多种组合的试验,试验中满足两个准则之一的实验结果表明,该方法的结果具有一定的优势。

We proposed a new image fuzzy classification method of correlation degree with a certain degree.The correlation degree basis points are obtained in each image category,and the certain degree of an image related to each category are calculated.The certain degree of an image is the weight of the corresponding image correlation degree,and the attribute of the image classification to be recognized is determined by the maximum criterion,which is the correlation degree with a weight.In this paper,to recognize the image category,the second criterion is characterized by the correlation degree with a certain degree is that the classification of the image to be recognized is determined with the principle of minimum distance between clustering centers.In several experiments with three categories of images,the experimental results which meet one of the two principles in the experiment show that the results of this method has certain advantages.