With the development of content-based image retrieval technology, the retrieval efficiency of
image retrieval technology is getting higher and higher. For different data images, image …

Billions of multimedia data files are getting created and shared on the web, mainly social
media websites. The explosive increase in multimedia data, especially images and videos …

Deep learning techniques is growing wider day by day in the process of Content based
Image retrieval (CBIR). The recognition of the image is based on its shape, attributes, and …

For a safe drive with a vehicle and better tyre life, it is important to regularly monitor the tyre
damages to diagnose its condition and chose appropriate solution. This paper proposes a …

Due to the growth of image exploitation, there is a requirement of systemizing the images in
several ways. Time consumption and accuracy are the most important problem in the CBIR …

The Content Based Image Retrieval (CBIR) system is a framework for finding images from
huge datasets that are similar to a given image. The main component of CBIR system is the …

Many methods have been presented in recent years for identifying the quality of agricultural
products using machine vision that due to the huge amount of redundant information and …

Content-based image retrieval system (CBIR) is a well-known and widely used system for
image retrieval. Most of the current CBIR systems are either command-based or specific to …

Dentro del campo de la visión por computadora, se han realizado esfuerzos significativos
para desarrollar nuevas teorías y modelos de descriptores en sistemas de recuperación de …

Direct histogram to histogram matching in content-based image retrieval is not proficient due
to its large number of bins. The total number of bins of an original histogram represents the …