BibTex RIS Kaynak Göster

AN ITERATIVE SEGMENTATION METHOD FOR REGION OF INTEREST EXTRACTION

Yıl 2012, Cilt: 2 Sayı: 2, 201 - 204, 01.12.2012

Öz

In this paper, a method is presented for applications which include mammographic image segmentation and region of interest extraction. Segmentation is a very critical and difficult stage to accomplish in computer aided detection systems. Although the presented segmentation method is developed for mammographic images, it can be used for any medical image which resembles the same statistical characteristics with mammograms. Fundamentally, the method contains iterative automatic thresholding and masking operations which is applied to the original or enhanced mammograms. Also the effect of image enhancement to the segmentation process was observed. A version of histogram equalization was applied to the images for enhancement. Finally, the results show that enhanced version of the proposed segmentation method is preferable because of its better success rate

Kaynakça

  • Processing Techniques for Tumor Detection”, Marcel Dekker, Inc. 270 Madison Avenue, New York, (2002) Strickland,
  • “Image [2] Aided Detection System for Mammographic Masses”, PhD Thesis, Duke University (2004) [3] Processing
  • Cambridge University Press, The Edinburgh Building, Cambridge CB2 8RU, UK, (2009) [4] Research
  • http://turkkanser.org.tr/news.php?id=61 (Date of Access: 15.11.2009)
  • Control, [5] Health,
  • http://www.saglik.gov.tr/TR/Genel/BelgeGoste r.aspx?F6E10F8892433CFF7A2395174CFB32 E1BFEA5D815DAC9C9E (Date of Access: 15.11.2009)
  • Method from Gray-Level Histograms”, IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC-9, No. 1, (1979)
Yıl 2012, Cilt: 2 Sayı: 2, 201 - 204, 01.12.2012

Öz

Kaynakça

  • Processing Techniques for Tumor Detection”, Marcel Dekker, Inc. 270 Madison Avenue, New York, (2002) Strickland,
  • “Image [2] Aided Detection System for Mammographic Masses”, PhD Thesis, Duke University (2004) [3] Processing
  • Cambridge University Press, The Edinburgh Building, Cambridge CB2 8RU, UK, (2009) [4] Research
  • http://turkkanser.org.tr/news.php?id=61 (Date of Access: 15.11.2009)
  • Control, [5] Health,
  • http://www.saglik.gov.tr/TR/Genel/BelgeGoste r.aspx?F6E10F8892433CFF7A2395174CFB32 E1BFEA5D815DAC9C9E (Date of Access: 15.11.2009)
  • Method from Gray-Level Histograms”, IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC-9, No. 1, (1979)
Toplam 7 adet kaynakça vardır.

Ayrıntılar

Diğer ID JA65PC54PV
Bölüm Makaleler
Yazarlar

Volkan Cetın Bu kişi benim

Serhat Ozekes Bu kişi benim

A. Yılmaz Camurcu Bu kişi benim

Yayımlanma Tarihi 1 Aralık 2012
Yayımlandığı Sayı Yıl 2012 Cilt: 2 Sayı: 2

Kaynak Göster

APA Cetın, V., Ozekes, S., & Camurcu, A. Y. (2012). AN ITERATIVE SEGMENTATION METHOD FOR REGION OF INTEREST EXTRACTION. International Journal of Electronics Mechanical and Mechatronics Engineering, 2(2), 201-204.