Invariant pattern recognition with defocused images

A. Vargas, C. San Martin, R. Figueroa, J. Campos, M. J. Yzuel

Research output: Contribution to journalArticleResearchpeer-review

4 Citations (Scopus)

Abstract

A methodology to obtain an invariant pattern recognition process when the input images are defocused is presented. Our method combines a multi-channel decomposition of the input scene and a usual correlation process to obtain several information channels. The information of the channels can be analyzed channel by channel or by means of a combination of them. In all the cases, the Discrimination Capability criterion is calculated and we see that the multichannel procedure is more stable against defocus than the mono-channel one. © 2001 SPIE · 0277-786X/01/$15.00.
Original languageEnglish
Pages (from-to)608-611
JournalProceedings of SPIE-The International Society for Optical Engineering
Volume4419
DOIs
Publication statusPublished - 1 Jan 2001

Keywords

  • Image processing
  • Multi-channel decomposition
  • Pattern recognition

Fingerprint Dive into the research topics of 'Invariant pattern recognition with defocused images'. Together they form a unique fingerprint.

  • Cite this

    Vargas, A., San Martin, C., Figueroa, R., Campos, J., & Yzuel, M. J. (2001). Invariant pattern recognition with defocused images. Proceedings of SPIE-The International Society for Optical Engineering, 4419, 608-611. https://doi.org/10.1117/12.437191