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Proceedings Paper

Digital Image Enhancement Techniques For Nondestructive Evaluation
Author(s): Robert Merenyi; Warren Heller
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Paper Abstract

Computer image enhancement of digitized radiographic and conventional photographs have taken advantage of several unique state-of-the-art developments to reveal anomalies in aerospace hardware. Signal processing of such imagery at TASC includes multi-frame averaging to increase signal-to-noise levels, applying specially-developed filters to sharpen details without sacrificing image information, and performing local contrast stretch and histogram equalization to display structure in low-contrast areas. Edge detection, normally complicated in radiographic images by low-contrast, poor spatial resolution, and noise, is performed as a post-processing operation and utilizes a difference-of-Gaussians method and a least-squares fitting procedure. With these software tools, multi-image signal processing allows for the precise measurement (to within + 0.02 inches, rms) of structural motion within a rocket motor during a static test firing as well as identifying stress conditions in turbine blades and matrix anomalies in composite materials. These and other image enhancement examples of aerospace hardware analysis are detailed in the presentation.

Paper Details

Date Published: 20 November 1986
PDF: 8 pages
Proc. SPIE 0707, Visual Communications and Image Processing, (20 November 1986); doi: 10.1117/12.937259
Show Author Affiliations
Robert Merenyi, The Analytic Sciences Corporation (TASC) (United States)
Warren Heller, The Analytic Sciences Corporation (TASC) (United States)


Published in SPIE Proceedings Vol. 0707:
Visual Communications and Image Processing
T. Russell Hsing, Editor(s)

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