By Topic

A novel saliency map extraction method based on improved Itti's model

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Dongjian He ; Coll. of Mech. & Electron. Eng., Northwest A&F Univ., YangLing, China ; Yongmei Zhang ; Huaibo Song

To obtain a saliency map close to the saliency object as much as possible, an improved bottom-up visual attention model is presented. Firstly, early visual features such as intensity, color and orientation are extracted from an input image at multiple scales; Secondly, three conspicuity maps are created respectively according to early features; Thirdly, three conspicuity maps are combined into a saliency map nonlinearly. In the last step, different from Itti's model, the contribution rate of each conspicuity map to the saliency map is done in inversely proportional to the saliency points area. A set of experiments were carried out to demonstrate the effectiveness of the proposed model. The experimental results show that the algorithm is effective and saliency map accuracy increased by 15-20% compared to Itti's model.

Published in:

Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On  (Volume:3 )

Date of Conference:

12-13 June 2010