Skip to content
Research Article Open Access

Gürültünün Tohumlu Alan Genişletme Tabanlı Bölütleme Sonucuna Etkisinin Nicemsel Olarak Belirlenmesi

1Bülent Ecevit University
2Ankara University
✉ Corresponding author: Burcu Yakışır Girgin · bygirgin@ankara.edu.tr
PDF BibTeX RIS

References

  1. R. Adams and L. Bischof, “Seeded region growing”, IEEE Trans. Pattern Anal, Mach. Intell, Vol. 16(6), pp. 641-647, 1994.
  2. R. Pohle and K. D. Toennies, “Segmentation of medical images using adaptive region growing”, in Proc. SPIE, Medical Imaging, July 3, 2001, Vol. 4322, pp. 1337-1346.
  3. J. Wu, S. Poehlman, M. D. Noseworthy and M. V. Kamath, “Texture feature based automated seeded region growing in abdominal MRI segmentation”, In BioMedical Engineering and Informatics BMEI International Conference, 2008, May, Vol. 2, pp. 263-267.
  4. A. Q. Al-Faris, U. K. Ngah, N. A. M Isa and I. L. Shuaib, “Breast MRI Tumour Segmentation Using Modified Automatic Seeded Region Growing Based on Particle Swarm Optimization Image Clustering”, Soft Computing in Industrial Applications, in Intelligent Systems and Computing, November 21, 2013, Vol. 223 of the series Advances, pp. 49-60.
  5. J. Yeom, M. Jung and Y. Kim, “Detecting damaged building parts in earthquake-damaged areas using differential seeded region growing”, International Journal of Remote Sensing, Vol. 38, pp. 985-1005, 2017.
  6. P. K. Jain and S. Susan, “An adaptive single seed based region growing algorithm for color image segmentation”, in India Conference (INDICON), December 13-15, 2013, pp. 1-6.
  7. F. Y. Shih and S. Cheng, “Automatic seeded region growing for color image segmentation”, Image and Vision Computing, Vol. 23(10), pp 877–886, 2005.
  8. J. Fan, D. K. Y. Yau, A. K. Elmagarmid, and W. G. Aref, “Automatic image segmentation by integrating color-edge extraction and seeded region growing”, IEEE Transactions on Image Processing, Vol. 10(10), pp. 1454-1466, 2001.
  9. P. Suman, D. Parasar and V. R. Rathod, “Seeded region growing segmentation on ultrasound image using particle swarm optimization”, in Computational Intelligence and Computing Research (ICCIC), December 10-12, 2015, pp. 1-6.
  10. S. Alpert, M. Galun, R. Basri and A. Brandt, “Image segmentation by probabilistic bottom-up aggregation and cue integration”, IEEE transactions on pattern analysis and machine intelligence, Vol. 34(2), pp. 315-327, 2012.
Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
Open Discovery Metadata · DOI · OAI-PMH
Global Reachresearchers worldwide