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Paper w78-1999-2429:
Using images pattern recognition and neural networks for coating quality assessment

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Chang L-M, Abdelrazig Y A

Using images pattern recognition and neural networks for coating quality assessment

Abstract: Most current techniques used in construction and infrastructure assessment and quality inspection rely merely on subjective criteria. Such inaccurate or subjective assessment techniques have been identified as a critical obstacle to effective infrastructure or constructed facilities management. This paper illustrates a more objective and reliable assessment method to improve the conditions of the infrastructures or the quality of constructed facilities. The proposed system will automate the coating assessment process by using computers to analyze digital images of the areas to be assessed.

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Full text: content.pdf (173,112 bytes) (available to registered users only)

Series: w78:1999 (browse)
Cluster: papers of the same cluster (result of machine made clusters)
Class: class.analysis (0.038911)
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Permission to reproduce these papers has been graciously provided by the Research Press of the National Research Council of Canada. The support of the editors, particularly Dr. Dana Vanier, is gratefully appreciated.

 

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