Abstract
Many areas of science, technology and business use large number of images for various applications of engineering. Searching and locating an image inside a large image database of digital images is considered to be tedious and time consuming and at times lacks accuracy. This paper proposes newly designed enhanced image retrieval algorithm to reduce the searching time and to increase the accuracy up to the maximum extent up to 96% using low level features like colour, shape, texture. The new algorithm lists the outcomes, based on relevance factor and narrow downs the search process of digital CAD images for engineering design applications like modifications of existing design and new conceptual designs based on CAD-based digital images for CAE applications.
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 Journal of Information Systems and Change Management
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.
