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Segmentation et mesures géométriques : application aux objets tubulaires métalliques

Abstract : The presence of specularity on an object is a recurring problem that limits the application of many segmentation methods. Indeed, specularities are areas with a very high intensity and greatly disturb the detection when the notion of gradient of the image is used. The work carried out in this thesis makes it possible to propose a new detection method for a metallic tubular object in an image. The method avoids the notion of gradient by using the notion of intensity profile. We propose in this manuscript a process which traverses predefined rectangular areas of the image by scanning a discrete segment in search of a reference intensity profile. This work is part of a collaboration with Numalliance, a company that manufactures machine tools. This collaboration enables this method to be put into a real industrial application as part of an automatic and real-time quality control system for parts manufactured by machine tools. To this end, the method presented must be fast, robust to the specularities and to the industrial environment while being sufficiently precise to make it possible to conclude on the conformity or not of the part
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Submitted on : Monday, November 27, 2017 - 8:47:37 PM
Last modification on : Wednesday, September 26, 2018 - 3:29:25 AM


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  • HAL Id : tel-01649874, version 1



Nicolas Aubry. Segmentation et mesures géométriques : application aux objets tubulaires métalliques. Synthèse d'image et réalité virtuelle [cs.GR]. Université de Lorraine, 2017. Français. ⟨NNT : 2017LORR0110⟩. ⟨tel-01649874⟩



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