Comparison of 3D segmentation algorithms for medical imaging
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Özet (EN)
In this thesis we implemented four different 3D segmentation algoritms, and we compared their reults on three different CT Data Sets. These segmentation algoritms are; Seeded Region Growing, Volumetric Segmentation Using Weibull E-SD Fields , Automatic Multilevel Thresholding by using OTSU Method and Unseeded Region Growing. The main results gained from our application as follows; Seeded Region Growing Algorithm produced good result on unnoised datasets with suitable threshold value. Volumetric Segmentation Using Weibull E-SD Fields Algorithm produced good result on our sample dataset which has high amount of contrast difference.However, The results on medical datasets which has low ammont of contrast difference. Automatic Multilevel Thresholding by using OTSU Method Algorithm which takes the segment count as an input by user interaction, produced sufficient results. And lastly, the number of segments produced by the Unseeded Region Growing Algorithm are over the expectations. But they can be considered as sufficent.
Yazar
Hakan Bulu
Bu Yayına Nasıl Atıf Yapılır
Hakan Bulu (Master Thesis). Comparison of 3D segmentation algorithms for medical imaging, 2006, Dokuz Eylül University.
Anahtar Kelimeler
Lisans
Tüm Hakları Saklıdır
Bu eser belirtilen lisans koşulları altında paylaşılmaktadır.
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