Defective 2D barcode image mosaic method for rotary scanning serial image

Jia Jiang Wang, Shu Sheng Zhang, Wei Ping He

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationAdvanced Design and Manufacturing Technology III
Pages2248-2256
Number of pages9
DOIs
StatePublished - 2013
Event3rd International Conference on Advanced Design and Manufacturing Engineering, ADME 2013 - Anshan, China
Duration: 13 Jul 201314 Jul 2013

Publication series

NameApplied Mechanics and Materials
Volume397-400
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference3rd International Conference on Advanced Design and Manufacturing Engineering, ADME 2013
Country/TerritoryChina
CityAnshan
Period13/07/1314/07/13

Keywords

  • 2D barcode
  • Feature matching
  • Image mosaic
  • Marr wavelet
  • Rotary scanning

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