Cart (Loading....) | Create Account
Close category search window
 

Self-adaptive cluster segmentation aircraft objects in aerial images

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

4 Author(s)
Yingchun Li ; Dept. of Electr., Jilin Univ., Changchun, China ; Hexin Chen ; Ming Zhao ; Pengfei Qu

We present a self-adaptive cluster segmentation method for the problem of automatically detecting the aircraft location from complex aerial images. Image segmentation that partitions a given image into meaningful regions is an important task of image analysis for recognition. We introduce knowledge about the location of the object of interest and knowledge about the behavior of edges in scale space, in order to enhance edge information. We present a new region potential term based on the classical iterative method when it is applied to the segmentation of aerial images. Following an edge-linking procedure, the regions of objects can be bounded by closed boundaries. The method is applied to a number of aerial images, each one of which contains one or more objects. Experimental results are provided to illustrate the correction of this object detection method in a lot of domain, regardless of the complexity of background in images.

Published in:

Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on  (Volume:6 )

Date of Conference:

15-19 June 2004

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.