image retrieval

The storage of large amounts of digital data, as well as the processing of digital images, are currently expanding significantly across a range of application areas.  As a result, effective management of big images databases is necessary, which calls for the employment of automated and cutting-edge indexing techniques.  One method used for this is Content-Based Image Retrieval (CBIR), which tries to index and query the picture database using visual aspects of the image rather than its semantic features.  In this article, we propose to explore a digital search engine for

The use of computer vision techniques to address the task of image retrieval is known as a Content-Based Image Retrieval (CBIR) system.  It is a system designed to locate and retrieve the appropriate digital image from a large database by utilizing a query image.  Over the last few years, machine learning algorithms have achieved impressive results in image retrieval tasks due to their ability to learn from large amounts of diverse data and improve their accuracy in image recognition and retrieval.  Our team has developed a CBIR system that is reinforced by two machine