The colour and texture - a novel image retrieval technology based on human vision Online publication date: Thu, 31-Jul-2014
by MingSheng Liu; Jianhua Li; Hui Liu
International Journal of Innovative Computing and Applications (IJICA), Vol. 5, No. 1, 2013
Abstract: If we want the computer to behave like humans, especially when they are recognising an image, we must study the human vision system carefully. Obviously, the colour and the texture are the most important perceptual characteristics of humans. When someone retrieval an image, he or she can use a variant of colour spaces, which have different advantages. In this paper, we replace the original colour space with HSV in MPEG-7 colour layout descriptor according to the nature of the human vision system. Experiment shows that the modified method increased retrieval efficiency greatly. Further more, we establish a multi-feature space, both homogeneous texture descriptor and colour layout descriptor are used. Since there are differences in human perceptions of colour and texture, in order to successfully retrieval an image which caters to the users, parallel genetic algorithm (PGA) is employed to adjust the weight of each feature space. The experimental evidence shows that the method made the computer behave like human.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Innovative Computing and Applications (IJICA):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook