By Topic

Region-Based Color Fusion Method for Visible and IR Image Sequences

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)
Bin Yang ; Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha ; Fengmei Sun ; Shutao Li

A novel region-based color mapping method is proposed to render fused image of visible and infrared (IR). The method is based on image segmentation, region recognition, image fusion and color transfer. Firstly visible image and IR image are fused based on the curvelet transform. At the same time, a color database is formed by grouping a set of natural color images according to their scene contents. A false color image obtained by assigning the source images to RGB channels is segmented with the multiscale normalized cuts method. Then each segmented region is recognized by support vector machine (SVM) and automatically associated with a natural color image. Finally the colors of the natural color image are transferred to the segmented region in a perceptually decorrelated color space. Experiments show that the image colorized by the proposed method resembles the natural color appearance and will help the observer interpreting the scene more intuitively than produced by other coloring methods.

Published in:

Pattern Recognition, 2008. CCPR '08. Chinese Conference on

Date of Conference:

22-24 Oct. 2008