Abstract
Searching of Images in the huge database is one of the serious problem in retrieval of images, mainly two types of retrieval is used that is text based ( data such as keywords, tags, or descriptions associated with the image) and content based (using the features of image like shape, texture and color). Though this field has acquired much wide popularity, CBIR has not yet reached its mellowness and is not yet being used on a large scale. The results show a distinct opinion on the usefulness and accuracy of CBIR systems in handling required images on large real-life image databases. This indicates that the research area is still full of zip and methods to improve existing results are in great demand. In This Paper Various existing methods with their efficiency in terms of computational time and correctness is reviewed.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Research Journal of Modernization in Engineering Technology and Science
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
