Feature-based selection of image retrieval method for content-based geometrical images

Nisha S. Pathur, V.S. Thangarasu and Krishnamurthi Ilango

International Journal of Information Systems and Change Management, 2016, vol. 8, issue 3, 211-220

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.

Keywords: geometrical image retrieval; colour; shape; texture; automatic annotation; relevance factor; feature selection; content-based images; digital images; CAE; CAD images; engineering design. (search for similar items in EconPapers)
Date: 2016
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