Content-based image retrieval system for cutting tools

Content based image retrieval has recently been investigated extensively. Images and video are queried to identify particular scenes or objects. The method can serve as an alternative to keyword type retrieval or complement such a system; depending on the application, it may be the only viable method of search. In this paper we consider the retrieval of cutting tools based on image content. Three methods are used for image retrieval which are based on matching of colour histograms, angle count histograms and image intensity histograms. The developed system is able to retrieve images that are reasonably similar. Additional work is needed to detect objects that are part of an image and also to improve the accuracy of the search.