Content Based Image Retrieval using HSV color space and Hadamard Transform

  Disha Bawa,  Cherry Goyal

In the past, information can be collected from newspapers, books and journals. With the development of computer, more and more information has been converted to computer readable formats. Big archives of films, music, images, satellite pictures, books, newspapers, and magazines have been made accessible for computer users. People access this huge amount of information with the help of internet. Furthermore, the rapid growth of the World Wide Web has led to the formation of a very large but disorganized, publicly available image collection. Contrastingly, the issue arises when such huge amount of information is available for particular topic specially for digital images. It becomes more difficult to retrieve accurate and relevant images from large data collection. Sometimes, users are not able to retrieve the images they actually require and end up getting what they do not require exactly. Thus, there is great interest to find the efficient information retrieval systems from digital image collections from the last decade.

Keywords- Component, formatting, style, styling, insert

Unique Identification Number - IJEDR1503053
Page Number(s) -
Pubished in - Volume 3 | Issue 3 | August 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Disha Bawa,  Cherry Goyal,   "Content Based Image Retrieval using HSV color space and Hadamard Transform", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 3, pp., August 2015, Available at :http://www.ijedr.org/papers/IJEDR1503053.pdf