Comparison of Neural Network and Markov Random Field Image Segmentation Techniques*
Date
1992
Authors
Smith, Fred
Jepsen, Karen
Lichtenwalner, Peter
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
The interpretation of data from nondestructive evaluation (NDE) techniques is a tedious and time-consuming manual process that is subject to such random variables as scan quality, and inspector expertise and fatigue. The authors are researching methods to automatically recognize defects in ultrasonic images of aircraft structures. A typical wing skin image with an annotated defect is shown in Figure 1. Our ultimate goal is to reduce total fabrication time and improve inspection reliability.
Series Number
Journal Issue
Is Version Of
Versions
Academic or Administrative Unit
Type
event
Comments
Rights Statement
Copyright
Wed Jan 01 00:00:00 UTC 1992