A Novel Technique for Effective Image Gallery Search using Content Based Image Retrieval System

Content-based image retrieval is known as one of the upcoming procedural structure that will apply various techniques of computer vision for penetrating and organizing the huge image anthology in an effective manner. It is largely accepted that with the growth of immense collection of digital images generated by fast progress in electronically storage ability and computing power, there is a rising requirement for devices and upgraded computer systems for the support of effective and efficient browsing, penetrating, and retrieval for various images from the image collections, be it be online or offline. Therefore, the basic idea of this technique is to develop such type of content-based image retrieval system that can put into operation in a large image gallery desktop application to permit competent browsing with the help of two different exploration methods respectively; retrieval by query based on image and retrieval by text or ticket. In this paper, the MPEG-7 and Edge Directivity Descriptor is used to take out the feature vectors of a particular image from the image database. An effective graphical user interface with the essential utility for the purpose of implementation of different images in the form of image gallery discussed.