The full potential of optically excited lockin-thermography is not used if only one phase image is evaluated. More information can be gained by correlating two or more images. This allows to gather information on features e.g. the kind of defect, thickness of the specimen, properties of boundary layers, or lateral heat flow. Certain defects are correlated to specific patterns in a scatterplot, akin to a fingerprint. Specimens with and without a certain feature can be distinguished more easily using suitable filters. This is apparently of interest for automated defect detection. This paper deals with qualitative feature-extraction using scatterplots and outlines the potential for quantitative evaluation. 1
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