Machine vision micro-milling tool wear inspection by image reconstruction and light reflectance
Machine Vision
DOI:
10.1016/j.precisioneng.2016.01.003
Publication Date:
2016-01-28T05:45:28Z
AUTHORS (4)
ABSTRACT
Abstract The paper presents a method for micro-milling tool wear inspection using machine vision. An original Wavelet-based Extended Depth of Field image reconstruction is proposed. The method enables geometrical measurements required to locate the cutting edges of the micro-tool. In the proposed method, variable light intensity is used during image acquisition to detect regions of different reflective properties. Geometrical information and reflective properties are then used to evaluate the tool wear. The proposed method is introduced to a prototype inspection machine. The results were compared to SEM images creating interesting conclusions.
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