Location

Brunswick, ME

Start Date

1-1-1992 12:00 AM

Description

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.

Book Title

Review of Progress in Quantitative Nondestructive Evaluation

Volume

11A

Chapter

Chapter 3: Interpretive Signal Processing and Image Reconstruction

Section

Neural Networks

Pages

717-724

DOI

10.1007/978-1-4615-3344-3_92

Language

en

File Format

application/pdf

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Jan 1st, 12:00 AM

Comparison of Neural Network and Markov Random Field Image Segmentation Techniques*

Brunswick, ME

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.