Defective 2D Barcode Image Mosaic Method for Rotary Scanning Serial Image

Jia Jing Wang; Shu Sheng Zhang; Wei Ping He

doi:10.4028/www.scientific.net/AMM.397-400.2248

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 397-400Defective 2D Barcode Image Mosaic Method for...

Defective 2D Barcode Image Mosaic Method for Rotary Scanning Serial Image

Abstract:

A mosaic method of based on rotational scan sequence cylindrical barcode which is suitable for metal parts is put forward, which combined the hardware and the software. Firstly, extract the feature points of each serial image based on scale-interaction of Marr wavelets. Then, get the optimal match of feature points with improved image local entropy. Lastly, complete the natural splice of the defect 2D bar code images through the algorithm of three interpolation and multi-resolution spline. The experimental results show that the algorithm could extract the feature points of consistent relative position and quantity after the processes of rotation, brightness, blur and nose, at the same time, assure the splicing efficiency and measurement precision of image mosaic. The method can also better finish the defect bar code recovery caused by curvature deformation.

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Periodical:

Applied Mechanics and Materials (Volumes 397-400)

Pages:

2248-2256

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.397-400.2248

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Online since:

September 2013

Authors:

Jia Jing Wang, Shu Sheng Zhang, Wei Ping He

Keywords:

2D Barcode, Feature Matching, Image Mosaic, Marr Wavelet, Rotary Scanning

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