Resumen

RESTREPO GIRON, Andrés David  y  LOAIZA CORREA, Humberto. A new algorithm for detecting and correcting bad pixels in infrared images. Ing. Investig. [online]. 2010, vol.30, n.2, pp.197-207. ISSN 0120-5609.

An image processing algorithm detects and replaces abnormal pixels individually, highlighting them amongst their neighbours in a sequence of thermal images without affecting overall texture, like classical filtering does. Bad pixels from manufacture or constant use of a CCD device in an IR camera are thus detected and replaced with a very good success rate, thereby reducing the risk of bad interpretation. Some thermal sequences from CFRP plates, taken by a Cincinnati Electronics InSb IR camera, were used for developing and testing this algorithm. The results were compared to a detailed list of bad pixels given by the manufacturer (about 70% coincidence). This work becomes relevant considering that the number of papers on this subject is low; most of them talk about astronomical image preprocessing. Moreover, thermographic non-destructive testing (TNDT) techniques are gaining popularity in Colombia at introductory levels in industrial sectors such as energy generation and transmission, sugar production and military aeronautics.

Palabras clave : pixel correction; infrared image; thermography; non-destructive testing (NDT).

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