• G SASI BHUSHANA RAO
• B.NARASINHA RAO
• P V N Sagar

Content Based Image Retrieval (CBIR) is the most interesting research areas due to the proliferation of video and image data in digital way. Basically, CBIR is on developing technologies to bridge the gap that currently prevents wide-deployment of image content-based search engines. Image search engines currently in use such as Google Images and Yahoo! Image search, are based on textual explanation of images. With the speed and perfection retrieval of image from huge databases is an important problem that needs to be discussed. Here, images are manually annotated with phases, which depends totally on the public view, and then retrieved using text-based search methods. This method is both time-consuming and prone to errors. Hence, such search engines result in retrieving many non-relevant images. To overcome such drawbacks of text based image retrieval, CBIR is introduced where the visual content of an image, such as color, texture and shape, is extracted automatically; In this paper, we will try to study the basic block diagram of CBIR and the different techniques currently being used, such as color histogram.

Methods of Image Retrieval, CBIR, color feature, color histogram

"QUERY BY IMAGE CONTENT IN IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.776-778, June-2019, Available :http://www.jetir.org/papers/JETIR1906257.pdf

"QUERY BY IMAGE CONTENT IN IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp776-778, June-2019, Available at : http://www.jetir.org/papers/JETIR1906257.pdf