<title>Automation of the image analysis for thermographic inspection</title>
Author(s) -
Yuri Plotnikov,
William P. Winfree
Publication year - 1998
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.305044
Subject(s) - computer science , automation , point (geometry) , computer vision , artificial intelligence , operator (biology) , image processing , image (mathematics) , mathematics , mechanical engineering , engineering , biochemistry , chemistry , geometry , repressor , transcription factor , gene
Several data processing procedures for the pulse thermal inspection require preliminary determination of an unflawed region. Typically, an initial analysis of the thermal images is performed by an operator to determine the locations of unflawed and the defective areas. In the present work an algorithm is developed for automatically determining a reference point corresponding to an unflawed region. Results are obtained for defects which are arbitrarily located in the inspection region. A comparison is presented of the distributions of derived values with right and wrong localization of the reference point. Different algorithms of automatic determination of the reference point are compared.
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