• B.V.Subbayamma
• D.Hareesha

Invention of digital technology has lead to increase in the number of images that can be stored in digital format. So searching and retrieving images in large image databases has become more challenging.Against the traditional system where the images are retrieved based on the keyword search, CBIR system retrieves the images based on the visual content. The increased need of content based image retrieval technique can be found in a number of different domains such as Data Mining, Education, Medical Imaging and Crime Prevention. This paper presents the content based image retrieval, using features like colour and texture. The colour and texture features are extracted through HSV based colour histogram and wavelet transformation respectively. In this paper the performance of HSV colour space and wavelet based colour histogram is evaluated on the basis of accuracy, precision and Recall. This system has demonstrated a promising and faster retrieval method on a WANG image database containing 100 general-purpose colour images. Thus, HSV based colour space and wavelet based colour histogram image retrieval methods are presented based on the colour distribution of the images.

Content-Based Image Retrieval, HSV

"CONTENT BASED IMAGE RETRIEVAL USING COLOUR AND TEXTURE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.920-925, June 2019, Available :http://www.jetir.org/papers/JETIR1907273.pdf

"CONTENT BASED IMAGE RETRIEVAL USING COLOUR AND TEXTURE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp920-925, June 2019, Available at : http://www.jetir.org/papers/JETIR1907273.pdf