Applications Of Intelligent Pattern Recognition Algorithm In Image Processing

With the development of society,intelligent information processing is developing towards biological intelligence.Hot research topics include the integration of neural network with fuzzy system and evolutionary computation;integration of neural network with fuzzy system and chaos;integration of neural network with fractal geometry,etc.which are trying to effectively simulate the mechanism of human thinking and lead the artificial intelligence towards biological intelligence.Computer image pattern recognition is an important part of computer application technologies.Along with the high-speed development of digital image processing and pattern recognition,image pattern recognition has been applied to many fields such as industry,agriculture,national defence,medical science,etc.Regular inspection on public facilities is an important means of controlling product quality to ensure the safe operation of facilities.In order to minimize the negative impact of human factor in the detection process and improve the reliability of test results,the development of automated detection technology to solve the problem is an effective way.On detecting the surface qualiilty in roads,bridges and other facilities,the target image recognition technology automatically detects the surface of images to determine whether the images have been damaged,which has become the key to automation.This study briefly introduces the theory of image processing and some latest process,especially on the image recognition.Moreover,based on several different recognition algorithms,the given color images of public facilities are recognized and classified with the simulation by Matlab,this will enhance the understanding of the applications of intelligent recognition in image processing.