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

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Coleman, SA, Suganthan, S and Scotney, BW (2009) An Adaptive Technique for Accurate Feature Extraction from Regular and Irregular Image Data. In: 15th International Conference on Image Analysis and Processing (ICIAP 2009), Vietri sul Mare, Italy. Springer. Vol 5716 9 pp. [Conference contribution]

Full text not available from this repository.

DOI: 10.1007/978-3-642-04146-4_97

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.

Item Type:Conference contribution (Paper)
Keywords:Range Data; Gradient Operator; Feature Extraction
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:6863
Deposited By:Professor Bryan Scotney
Deposited On:20 Jan 2010 15:39
Last Modified:26 May 2011 12:20

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