Improvement of X-ray castings inspection reliability by using Dempster–Shafer data fusion theory
نویسندگان
چکیده
منابع مشابه
Improvement of X-ray castings inspection reliability by using Dempster-Shafer data fusion theory
The aim of this work is to improve the classification of defects in X-ray inspection by developing a new method based on Dempster-Shafer data fusion theory where measured features on the detected objects are considered as information sources. From the histogram of features values on a learning database of manually classified objects, an automatic procedure is proposed to define a set of mass fu...
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X-ray inspection is a traditional non-destructive testing method used to thoroughly test industrial parts, such as aluminum castings in the automotive sector. Safety specifications and quality control task are the main focus of the inspection process. Digital image processing, computational intelligence and hardware progress allowed automating this task. While the detection of true defects is t...
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Casting is an economical way to manufacture parts. On average, complex aerospace castings incur about one-fourth the cost of forgings. However, castings can not be used as primary structure in aircraft because of poor control over design allowables for the material strength and ductility. They can be used as secondary structure, but must include significant safety factors usually between 3 and ...
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Generally, the flaw detection in automated visual inspection consists of two steps: a) identification of potential defects using image processing techniques, and b) classification of potential defects into ‘defects’ and ‘regular structures’ (false alarms) using a pattern recognition methodology. In the second step, since several features can be extracted from the potential defects, a feature se...
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In this contribution we present a classification method based on the evidence theory. The classification method is compared to the state of the art support vector machine classifier on an industrial radioscopic data and 3D CT data of aluminium castings as well as 3D ultrasonic data of composite materials. The reported experimental results reveal the robustness of the proposed method and its adv...
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ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2011
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2010.10.004