Huge Amounts of Small Differences in Effective Classification Method in Image Group Research and Simulation

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.