ABSTRACT
Information sharing, interpretation and meaningful expression have used digital images in the past couple of
decades very usefully and extensively. This extensive use not only evolved the digital communication world with
ease and usability but also produced unwanted difficulties around the use of digital images. Because of their
extensive usage it sometimes becomes harder to filter images based on their visual contents. To overcome these
problems, Content Based Image Retrieval (CBIR) was introduced as one of the recent ways to find specific images
in massive databases of digital images for efficiency or in other words for continuing the use of digital images in
information sharing. In the past years, many systems of CBIR have been anticipated, developed and brought into
usage as an outcome of huge research done in CBIR domain. Based on the contents of images, different
approaches of CBIR have different implementations for searching images resulting in different measures of
performance and accuracy. Some of them are in fact very effective approaches for fast and efficient content based
image retrieval.
This research highlights the hard work done by researchers to develop the image retrieval techniques based on
the color of images. These techniques along with their pros and cons as well as their application in relevant fields
are discussed in the survey paper. Moreover, the techniques are also categorized on the basis of common
approach used.
Keywords: - CBIR, Color Histogram, Digitized Images, Image Indexing, Image Repositories, Vector Quantization