To effective mass of difference image classification

can greatly satisfy the user demand for image search and management.Traditional mass small differences in classification of image classification method to limit a lot of constraint conditions

the existing classification efficiency is low

the invalid classification more disadvantages.Therefore

based on fuzzy joint degree improved mass small difference image classification method.Using the SIFT algorithm for feature extraction with the mass of difference image of analysis

provide data support for the further image classification.The concept of the fuzzy degree of joint is introduced into the classification algorithm

the mass of difference image classification model build

calculate the optimal solution

to the optimal mass of difference image classification.The experimental results show that the improved classification algorithm is used to mass small difference image classification

to improve the efficiency of image classification and classification accuracy.