Content based image retrieval is an active area of research for more than a decade. In this
paper, we have proposed an effective way of extracting color, texture, and shape features …

Content based image retrieval has found its application in many areas like government,
academia and hospitals. A new image retrieval technique is presented in this paper, which …

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 …

The study on Content Based Image Retrieval (CBIR) has been a concern for many
researchers. To conduct CBIR study, some essential things should be considered that are …

Content based image retrieval system is a fast growing research area, where the visual
content of a query image is used to search images from large scale image databases. In this …

Image indexing and retrieval became an interesting field of research nowadays due to the
lack of advanced methodologies to index and retrieve images and to the existence of huge …

Traditionally, the database is of text and numerical data only, which is having less attention
nowadays because of the massive amount of multimedia content. In the multimedia and …

It has been more than 40 years since the first digital imaging sensor was invented. For the
last four decades, image acquisition functionality has continuously been improved, in terms …

Content Based Image Retrieval is a process to get a desired image from a substantial
database. We propose a template for shape based hierarchical feature matching approach …

According to the trend in the modern society that utilizes various image related services and
products, the amount of images created by diverse personal and industrial devices is …