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AKILLI SİSTEMLER VE UYGULAMALARI DERGİSİ
JOURNAL OF INTELLIGENT SYSTEMS WITH APPLICATIONS
J. Intell. Syst. Appl.
E-ISSN: 2667-6893
Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.

Implementation of Harris Corner Detection Algorithm for Volumetric Images

Harris Köşe Bulma Algoritmasının Hacimsel Görüntüler için Uygulanması

How to cite: Öztürk CN, Albayrak S. Implementation of harris corner detection algorithm for volumetric images. Akıllı Sistemler ve Uygulamaları Dergisi (Journal of Intelligent Systems with Applications) 2018; 1(1): 18-22. DOI: 10.54856/jiswa.201805008

Full Text: PDF, in Turkish.

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Title: Implementation of Harris Corner Detection Algorithm for Volumetric Images

Abstract: More effective detection of corner points in three dimensional (3-D) volumetric images can be possible through expansion of Harris corner detection algorithm, which run in two dimensional (2-D) images, into third dimension. In this study, the standard algorithm of Harris that detected corner points in 2-D slices and its 3-D version were implemented in the scale-space to determine the corner points of volumetric object images. The results obtained in sample object images with 2-D and 3-D methods that used different approaches for scale-space construction were qualitatively assessed.

Keywords: Volumetric image; 3-D Harris corner detection; scale-space construction; qualitative analysis

Başlık: Harris Köşe Bulma Algoritmasının Hacimsel Görüntüler için Uygulanması

Özet: Üç boyutlu (3-B) hacimsel görüntüler için daha etkin köşe noktası tespit etmek iki boyutlu (2-B) görüntülerde çalışan Harris köşe bulma algoritmasının üçüncü boyuta genişletilmesiyle mümkün olabilir. Bu çalışmada hacimsel nesne görüntülerindeki köşe noktalarını belirlemek için 2-B kesitlerdeki köşe noktalarını bulan standart Harris algoritmasıyla bunun 3-B uyarlaması ölçek uzayında uygulanmıştır. Ölçek uzayı oluşturmada farklı yaklaşımlar kullanan 2-B ve 3-B yöntemler ile örnek nesne görüntüleri üzerinde elde edilen sonuçlar nitel olarak değerlendirilmiştir.

Anahtar kelimeler: Hacimsel görüntü; 3-B Harris köşe bulma; ölçek uzayı oluşturma; nitel değerlendirme

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