19
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Efficient extraction algorithm of local fuzzy feature of dynamic images

, &
Pages 277-282 | Received 01 Nov 2017, Published online: 20 Apr 2018
 

Abstract

The traditional local fuzzy feature algorithm of dynamic image is based on a single threshold to set the filter value, so it is difficult to establish an effective filtering model for the local fuzzy interference, which results in a large deviation of feature extraction. Thus, in this paper, a local fuzzy feature extraction algorithm of dynamic images for resisting clutter interference is proposed. Firstly, the gray enhancement model is set up, and the dynamic image is enhanced. Then, the least square method is introduced to realize the local fuzzy feature extraction of the dynamic image in the clutter interference environment. Experimental results show that the proposed algorithm can effectively improve the accuracy of local fuzzy feature extraction of the dynamic image.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.