Fuzzy Image Classification with a Certain Degree

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.