%0 Journal Article
%T A new algorithm for detecting and correcting bad pixels in infrared images
%A Andr¨¦s David Restrepo Gir¨®n
%A Humberto Loaiza Correa
%J -
%D 2010
%X 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 pre-processing. Moreover, thermo graphic 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
%K pixel correction
%K infrared image
%K thermography
%K non-destructive testing (NDT)
%U https://revistas.unal.edu.co/index.php/ingeinv/article/view/15750