An Adaptive Technique for Accurate Feature Extraction from Regular and Irregular Image Data

Authors:
Sonya Coleman;Shanmuglingam Suganthan;Bryan Scotney
Affiliations:
University of Ulster, Magee, Northern Ireland BT48 7JL;Smart Sensors Ltd, University of Bath Innovation Centre, Bath BA1 1UD;University of Ulster, Coleraine, Northern Ireland BT52 1SA
Venue:
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Year:
2009

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Abstract

We present a single multi-scale gradient-based feature extraction algorithm that can be directly applied to irregular or regular image data and hence can be used on both range and intensity images. We illustrate the accuracy of this approach using the Figure of Merit evaluation technique on real images, demonstrating that the application of this approach to both range and intensity images is more accurate than the equivalent approach of applying a gradient operator, such as Sobel, to an intensity image and, separately, the scan-line approximation approach to range images.