Embedded system chip design for medical image indexing and recognition

Long Xie, Youichi Kigawa, Masatoshi Ogawa, Harutoshi Ogai, Hirokazu Abe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An embedded system chip is developed for medical image indexing and recognizing through huge medical image database. Feature points which can represent the image are extracted using ICA algorithm after the image is preprocessed and different recognition methods are compared to get the optimized one. The entire project of hardware and software co-design is implemented on Xilinx FPFA with the consideration of high efficiency, low power consuming and easy integration with other devices.

Original languageEnglish
Title of host publicationIFAC Proceedings Volumes (IFAC-PapersOnline)
Pages226-230
Number of pages5
Volume16
Publication statusPublished - 2005
Event16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005 - Prague
Duration: 2005 Jul 32005 Jul 8

Other

Other16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005
CityPrague
Period05/7/305/7/8

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Keywords

  • Image
  • Medical
  • Recognition independent component analysis
  • SoC

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Xie, L., Kigawa, Y., Ogawa, M., Ogai, H., & Abe, H. (2005). Embedded system chip design for medical image indexing and recognition. In IFAC Proceedings Volumes (IFAC-PapersOnline) (Vol. 16, pp. 226-230)