Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Methods of distinguishing contours and describing key points when comparing color images

Not Accessible

Your library or personal account may give you access

Abstract

This paper discusses methods of using color information in solving problems of image comparison and the recognition and tracking of objects in a closed space. These problems are characteristic of the computer-vision systems of mobile robots. Methods of distinguishing contours on the basis of the Cumani operator are discussed, as well as of detecting key points, using a color method based on the difference of Gaussians. A new method is proposed for constructing descriptors of the key points, based on the color tensor. Experiments show an increase in the efficiency of the indicated methods by 10-15%, with a close-to-threefold increase of the processing time.

© 2010 Optical Society of America

PDF Article
More Like This
Iterative color constancy with temporal filtering for an image sequence with no relative motion between the camera and the scene

Josemar Simão, Hans Jörg Andreas Schneebeli, and Raquel Frizera Vassallo
J. Opt. Soc. Am. A 32(11) 2033-2043 (2015)

Multi-color space learning for image segmentation based on a support vector machine

Renzheng Zhang, Guodong Chen, Zheng Wang, Wenzheng Chi, Zhenhua Wang, Lining Sun, Guilin Yang, and Yifang Wen
OSA Continuum 2(11) 3050-3065 (2019)

Unsupervised clustering approaches to color classification for color-based image code recognition

Cheolho Cheong, Gordon Bowman, and Tack-Don Han
Appl. Opt. 47(13) 2326-2345 (2008)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved