Comparison of Neural Network and Markov Random Field Image Segmenta
نویسندگان
چکیده
The interpretation of da ta from nondestructive evaluation (NDE) techniques is a tedious and time-consuming manual process that is subject to such random variables as sc an 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.
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