Scheduled System Maintenance:
On Wednesday, July 29th, IEEE Xplore will undergo scheduled maintenance from 7:00-9:00 AM ET (11:00-13:00 UTC). During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

An image processing techniques for image enhancement of electrical resistance tomography

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

2 Author(s)
Asgarifar, S. ; Islamic Azad Univ., Bandar Anzali, Iran ; Hosseini, M.M.

In this paper, we present a combined method based on image processing techniques for image enhancement in electrical resistance tomography (ERT). Image reconstruction in ERT is an ill-posed inverse problem and the most significant drawback of ERT is its poor image quality. We have designed and simulated a new image reconstruction method using image processing techniques to enhance ERT images. The first stage of ERT forward and reverse solver is reach to raw images and then, in second stage, an image noise elimination technique is applied to extract better results from the first step images. Simulation results are presented and compared to those obtained by other more established method such as modified Newton-Raphson (mNR). Results show that the proposed method can sufficiently enhance quality of ERT images. Comparison in results between numerically solved method and the hybrid method represents a considerable improvement in final image quality.

Published in:

Power Engineering and Automation Conference (PEAM), 2011 IEEE  (Volume:3 )

Date of Conference:

8-9 Sept. 2011