Comparison And Application Of Image Classification

With the rapid development of multimedia and Internet, the research of image classification has been becoming a hotspot problem at home and abrod. Compared with the documents,the data of images is so much that how to establish a effective image description and classification mechanism has become an urgent problem. Image Information Classification Technique has undertook three steps. text description of the feature of the imagesâ†'suiface visual feature of imagesâ†'intrinsic semantic feature. This graduation project belongs to the second step. Content-based image classification(CBIR) concerns imformation retrival, image processing, computer vision, machine learning, artificial intelligence,and so on,and is also a good research direction with a bright future.In recent years, The image classification system has already gradually started to move towards commercializing,and also obtains certain development. under the huge opportunity actuation. more and more people will enter this domain, meanwhile it will further promote this domain development.. The existing image classification system has already had quite good classification performance, readers may go to Baidu, google to have a look at their image classification performance, you may say that the performance is good,but careful people may see that some unmatched images are showed,and also wait for the further enhancement.