Image retrieval system for natural images based on local features

In this paper a retrieval study for natural image learning environment is proposed. The content ofthis paper is a result of projects called Image content-based retrieval on a natural image database. Theobjective of this project is to develop an image content-based search engine, which can perform identitycheck of a natural image. It is well known that conventional natural image databases can only be retrievedby text-based query. In this paper we use the shape, color, and other features extracted from a capturednatural image to search the natural image database. The developed technique is able to perform scale,translation, and rotation invariant matching between natural images. Currently, the database containsseveral hundreds of natural images. In future, we shall enhance the capability of the search engine to dealwith more than 30,000 natural image species, which is the total amount of natural image species along thecoast.