Abstract
Several algorithms of intensity-based feature detection have been recently proposed. The paper further investigates one of them. The algorithm employs locally computed moments to detect image features. First, the best-match template feature is built for the current location. Then, the template is compared to the content of the image to determine the actual presence of the feature. The paper reports an improvement in the second step. The template feature and the image are compared using radial profiles. It improves the performance (especially for noised and textured images) and simplifies the prospective hardware implementation of the algorithm.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
REFERENCES
Deriche, R., G. Giraudon, “A computation approach for corner and vertex detection”, Int. J. Comp. Vision, vol.10, 1993, pp 101–124.
Parida, L., D. Geiger, R. Hummel, “Junctions: Detection, Classification, and Reconstruction”, IEEE Trans. PAMI, vol. 20, 1998, pp 687–698.
Kitchen, L., A. Rosenfeld, “Gray-level Corner Detection”, Pat. Rec. Letters, vol. 1, 1982, pp 95–102
Rohr, K., “Modeling and Identification of Characteristic Intensity Variations”, Image & Vision Comp., vol. 10, 1992, pp. 66–76
Liu, S.T., W.H. Tsai, “Moment Preserving Corner Detection”, Pat. Rec., vol. 23, 1990, pp 441–460.
Smith, S.M., J.M. Brady, “SUSAN – A New Approach to Low Level Image Processing”, Int. J. Comp. Vision, vol. 23, 1997, pp 45–78.
Ghosal, S., R. Mehrotra, “A Moment-Based Unified Approach to Image Feature Detection”, IEEE Trans, on Image Proc., vol. 6, 1997, pp 781–793.
Sluzek A., “Specialized Detectors and Filters for Processing Contour Patterns in Gray-Level Images”, Proc. Int. Conf. Comp. Vision & Graphics, Zakopane, 2002, pp 16–30.
Sluzek A., “On Moments-based Local Operators for Detecting Image Patterns”, Image & Vision Computing, 2004 (accepted).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer
About this chapter
Cite this chapter
Śluzek, A. (2006). AN IMPROVED DETECTION ALGORITHM FOR LOCAL FEATURES IN GRAY-LEVEL IMAGES. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_59
Download citation
DOI: https://doi.org/10.1007/1-4020-4179-9_59
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-4178-5
Online ISBN: 978-1-4020-4179-2
eBook Packages: Computer ScienceComputer Science (R0)