Level set approach with fuzzy C-Mean clustering in digital image segmentation
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
In this study, Level Set function, which is a very different application areas on the image processing, were investigated. In addition, the ?Modified Fuzzy C-Mean Algorithm? image segmentation clusters were created. This application of image segmentation is performed in computer tomography images of liver tissue and Fuzzy C-Mean Algorithm, Modified C-Mean Algorithm and the proposed method examined in number of iterations, working times and the quality of segmentation.
Author
Uğurhan Kutbay
Institution
How to Cite
Uğurhan Kutbay (Master Thesis). Level set approach with fuzzy C-Mean clustering in digital image segmentation, 2011, Gazi University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Gazi University
- Experimental development of the interfacial bond-slip model between textile reinforced mortar strips and masonry walls(2025)
- Occupational accident analysis and modelling in oil and gas drilling sector Turkey(2021)
- The ideological construction of regime debate in Turkey by the press in the context of 2007 presidential elections(2012)
- XVI. yüzyıl Anadolu'sunda Oğuzların Karkın Boyu(2004)
- Sharing of real life geometry samples via a social learning environment: A case study(2021)
- Evaluatıon of calcium hydroxide removal efficiency of two different irrigation activation techniques from artificial internal resorption cavities prepared at different root levels(2021)