Research On Optimization Algorithm In Image Processing Technology

The development of science and technology is changing rapidly.In the field of computer,it is progressed by leaps and bounds.The traditional image retrieval and image matching technology has been unable to meet the needs of users.There are a lot of in image matching and image retrieval algorithm in image matching field based on matching method,based on the characteristics of image matching methods;in the field of image retrieval with content retrieval method,retrieval method based on text.However,there are many problems in image matching and image retrieval,such as long running time,poor clustering effect,high matching and retrieval error rate,which makes it impossible for users to meet users' requirements in practical applications.In the study,it is found that the application of intelligent optimization algorithm to matching and retrieval can improve the processing effect.This paper will study from the following points:(1)The ring topology and the topology structure is proposed based on the ring topology structure;design a new adaptive escape mechanism;an adaptive escape particle swarm to ring all the interconnection structure of the improved algorithm.(2)Aiming at the problem of large computation in image matching,we use SICA algorithm to optimize,add new constraints and particle swarm optimization algorithm to improve the accuracy and speed of matching.(3)Choose PAM algorithm to cluster the image data;improve the particle swarm algorithm with the idea of fireworks algorithm,and improve the clustering speed and quality with the improved PAM algorithm,so as to enhance the realtime and accuracy of retrieval.