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
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
Subject Areas
Robotics and Sensor-Based Localization
·Aerospace Engineering ·Physical Sciences
Advanced Image and Video Retrieval Techniques
·Computer Vision and Pattern Recognition ·Physical Sciences
Advanced Vision and Imaging
·Computer Vision and Pattern Recognition ·Physical Sciences
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