Implementation of Harris Corner Detection Algorithm for Volumetric Images | Zendy

Ceyda Nur Öztürk | Zendy; Songül Albayrak | Zendy

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Implementation of Harris Corner Detection Algorithm for Volumetric Images

Author(s) -

Ceyda Nur Öztürk,

Songül Albayrak

Publication year - 2018

Publication title -

journal of intelligent systems with applications

Language(s) - English

Resource type - Journals

ISSN - 2667-6893

DOI - 10.54856/jiswa.201805008

Subject(s) - corner detection , dimension (graph theory) , scale (ratio) , artificial intelligence , algorithm , scale space , computer vision , sample (material) , space (punctuation) , computer science , object (grammar) , mathematics , geometry , image (mathematics) , image processing , combinatorics , physics , cartography , geography , thermodynamics , operating system

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.

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