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Illumination characteristics and image stitching for automatic inspection of bicycle part

Wen-Yang Chang (Department of Mechanical and Computer-Aided Engineering, National Formosa University, Huwei, Taiwan)
Chih-Ping Tsai (Department of Mechanical and Computer-Aided Engineering, National Formosa University, Huwei, Taiwan)

Assembly Automation

ISSN: 0144-5154

Article publication date: 9 September 2014

Abstract

Purpose

This study aims to investigate the spectral illumination characteristics and geometric features of bicycle parts and proposes an image stitching method for their automatic visual inspection.

Design/methodology/approach

The unrealistic color casts of feature inspection is removed using white balance for global adjustment. The scale-invariant feature transforms (SIFT) is used to extract and detect the image features of image stitching. The Hough transform is used to detect the parameters of a circle for roundness of bicycle parts.

Findings

Results showed that maximum errors of 0°, 10°, 20°, 30°, 40° and 50° for the spectral illumination of white light light-emitting diode arrays with differential shift displacements are 4.4, 4.2, 7.8, 6.8, 8.1 and 3.5 per cent, respectively. The deviation error of image stitching for the stem accessory in x and y coordinates are 2 pixels. The SIFT and RANSAC enable to transform the stem image into local feature coordinates that are invariant to the illumination change.

Originality/value

This study can be applied to many fields of modern industrial manufacturing and provide useful information for automatic inspection and image stitching.

Keywords

Citation

Chang, W.-Y. and Tsai, C.-P. (2014), "Illumination characteristics and image stitching for automatic inspection of bicycle part", Assembly Automation, Vol. 34 No. 4, pp. 342-348. https://doi.org/10.1108/AA-09-2013-076

Publisher

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Emerald Group Publishing Limited

Copyright © 2014, Emerald Group Publishing Limited