Network image search engine based on contour and texture

By the search technique, people could quickly find information in the lager data. Presently, the search engines for the network are all the type of pure text. Therefore, the image search engine system is. proposed. The proposed system uses contour and texture to compare two images. The best advantage of the proposed system is that which it can search the similar image even the image was processed by the general image processing techniques, such as displacement, rotation, magnification, miniaturization and reflex. In addition, it can search the complex image that composed by sub images. By the functions of the proposed system, user could input resource image with scanner and compare with the images from the database. As the result, the practical image search engine is completed.