Adaptive texture filtering for defect inspection in ultrasound images

Carl Zmola; Andrew C. Segal; Brian Lovewell; Charles Nash

doi:10.1117/12.144806

6 May 1993 Adaptive texture filtering for defect inspection in ultrasound images

Carl Zmola, Andrew C. Segal, Brian Lovewell, Charles Nash

Proceedings Volume 1907, Machine Vision Applications in Industrial Inspection; (1993) https://doi.org/10.1117/12.144806
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States

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.

Citation Download Citation

Carl Zmola, Andrew C. Segal, Brian Lovewell, and Charles Nash "Adaptive texture filtering for defect inspection in ultrasound images", Proc. SPIE 1907, Machine Vision Applications in Industrial Inspection, (6 May 1993); https://doi.org/10.1117/12.144806

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