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

Fingerprint

Independent component analysis
Embedded systems
Hardware

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)

Embedded system chip design for medical image indexing and recognition. / Xie, Long; Kigawa, Youichi; Ogawa, Masatoshi; Ogai, Harutoshi; Abe, Hirokazu.

IFAC Proceedings Volumes (IFAC-PapersOnline). Vol. 16 2005. p. 226-230.

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

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, 16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005, Prague, 05/7/3.
Xie L, Kigawa Y, Ogawa M, Ogai H, Abe H. Embedded system chip design for medical image indexing and recognition. In IFAC Proceedings Volumes (IFAC-PapersOnline). Vol. 16. 2005. p. 226-230
Xie, Long ; Kigawa, Youichi ; Ogawa, Masatoshi ; Ogai, Harutoshi ; Abe, Hirokazu. / Embedded system chip design for medical image indexing and recognition. IFAC Proceedings Volumes (IFAC-PapersOnline). Vol. 16 2005. pp. 226-230
@inproceedings{58c647cee8f44d64a8dacfdfca381abe,
title = "Embedded system chip design for medical image indexing and recognition",
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.",
keywords = "Image, Medical, Recognition independent component analysis, SoC",
author = "Long Xie and Youichi Kigawa and Masatoshi Ogawa and Harutoshi Ogai and Hirokazu Abe",
year = "2005",
language = "English",
isbn = "008045108X",
volume = "16",
pages = "226--230",
booktitle = "IFAC Proceedings Volumes (IFAC-PapersOnline)",

}

TY - GEN

T1 - Embedded system chip design for medical image indexing and recognition

AU - Xie, Long

AU - Kigawa, Youichi

AU - Ogawa, Masatoshi

AU - Ogai, Harutoshi

AU - Abe, Hirokazu

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

KW - Image

KW - Medical

KW - Recognition independent component analysis

KW - SoC

UR - http://www.scopus.com/inward/record.url?scp=79960738180&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79960738180&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:79960738180

SN - 008045108X

SN - 9780080451084

VL - 16

SP - 226

EP - 230

BT - IFAC Proceedings Volumes (IFAC-PapersOnline)

ER -