A new generalized affine moment invariants for shape retrieval and object recognition

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Abstract

Shape retrieval and object recognition are two important tasks in pattern recognition society. Whether they can be achieved or not owes a lot to the performance of a descriptor primarily. In this paper, a new generalized affine moment invariants called illumination invariant MSA moments is proposed. This method combines the traditional AMI, MSA, MSA moment and the basic ideas used to construct illumination invariants. The results suggest that the new technique offers well discriminative power equivalent to the MSA in shape retrieval task, but is much more robust under illumination distortion and Gaussian noise. In 3D object recognition task, the proposed method outperforms both comparison methods under strong non-affine transformation.

Original languageEnglish
Title of host publication2012 the 8th IEEE International Symposium on Instrumentation and Control Technology, ISICT 2012 - Proceedings
Pages137-142
Number of pages6
DOIs
StatePublished - 2012
Event8th IEEE International Symposium on Instrumentation and Control Technology, ISICT 2012 - London, United Kingdom
Duration: 11 Jul 201213 Jul 2012

Publication series

Name2012 the 8th IEEE International Symposium on Instrumentation and Control Technology, ISICT 2012 - Proceedings

Conference

Conference8th IEEE International Symposium on Instrumentation and Control Technology, ISICT 2012
Country/TerritoryUnited Kingdom
CityLondon
Period11/07/1213/07/12

Keywords

  • MSA moment
  • illumination invariance
  • object recognition
  • pattern classification
  • shape retrieval

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