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Proceedings Paper

Adaptive texture filtering for defect inspection in ultrasound images
Author(s): Carl Zmola; Andrew C. Segal; Brian Lovewell; Charles Nash
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Paper Abstract

The use of ultrasonic imaging to analyze defects and characterize materials is critical in the development of non-destructive testing and non-destructive evaluation (NDT/NDE) tools for manufacturing. To develop better quality control and reliability in the manufacturing environment advanced image processing techniques are useful. For example, through the use of texture filtering on ultrasound images, we have been able to filter characteristic textures from highly-textured C-scan images of materials. The materials have highly regular characteristic textures which are of the same resolution and dynamic range as other important features within the image. By applying texture filters and adaptively modifying their filter response, we have examined a family of filters for removing these textures.

Paper Details

Date Published: 6 May 1993
PDF: 6 pages
Proc. SPIE 1907, Machine Vision Applications in Industrial Inspection, (6 May 1993); doi: 10.1117/12.144806
Show Author Affiliations
Carl Zmola, Univ. of Illinois/Chicago (United States)
Andrew C. Segal, Univ. of Illinois/Chicago (United States)
Brian Lovewell, General Electric Corp. (United States)
Charles Nash, General Electric Corp. (United States)


Published in SPIE Proceedings Vol. 1907:
Machine Vision Applications in Industrial Inspection
Frederick Y. Wu; Benjamin M. Dawson, Editor(s)

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