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Title of Journal: Machine Vision and Applications

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Abbravation: Machine Vision and Applications

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Springer-Verlag

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DOI

10.1016/j.anclin.2006.12.004

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1432-1769

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An imagebased feature tracking algorithm for real

Authors: Mehrdad IravaniTabrizipour Ehsan Toyserkani
Publish Date: 2007/01/25
Volume: 18, Issue: 6, Pages: 343-354
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Abstract

This paper presents a novel algorithm for realtime detection of clad height in laser cladding which is known as a layered manufacturing technique A realtime measurement of clad geometry is based on the use of a developed trinocular optical detector composed of three CCD cameras and the associated interference filters and lenses The images grabbed by the trinocular optical detector are fed into an algorithm which combines an imagebased tracking protocol and a recurrent neural network to extract the clad height in realtime The image feature tracking strategy is a synergy between a simple image selecting protocol a fuzzy thresholding technique a boundary tracing method a perspective transformation and an extraction of elliptical features of the projected melt pool’s images The proposed algorithm and the trained network were utilized in the process resulting in excellent detection of the clad height at various working conditions in which SS303L was deposited on mild steel It was concluded that the developed system can detect the clad height independent from clad paths with about 12 maximum error

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