Abstract
Sub-pixel edge location is an effective way to improve measurement accuracy. For the deficiency of traditional gaussian interpolation algorithm for sub-pixel location, this paper presents an improved algorithm: After obtaining pixel-accuracy edge of object to be measured by LoG operator, use Hough transform to get the curve slope of the boundary line and the normal of the corresponding point on the edge; Weighing Lagrange interpolation in the normal direction is performed to obtain the gray values in the direction of the gradient under new coordinate system; finally, perform sub-pixel relocation in the gradient direction based on the gaussian interpolation algorithm. Experimental results show that the improved method can get much better precision than the traditional 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
Steger, C., Ulrich, M., Wiedemann, C.: Machine Vision Algorithms and Applications, pp. 1–2. Tsinghua University Press, Beijing (2008)
Qu, Y.: A fast subpixel edge detection method using Sobel-Zernike moment operator. Image and Vision Computing 23, 11–17 (2005)
Tabatabai, A.J., Mitchell, O.R.: Edge location to sub-pixel values in digital imagery. IEEE Trans. Pattern Anal. Machine Intell. PAMI-6(2), 188–201 (1984)
van Assen, H.C., Egmont-Petersen, M., Reiber, J.H.C.: Accurate object localization in gray level images using the center of gravity measure:accuracy versus precison. IEEE Transactions on Image Processing 11(12), 1379–1384 (2002)
Malamas, E.N., Petrakis, E.G.M., Zervakis, M., et al.: A survey on industrial vision systems, applications and tools. Image and Vision Computing 21, 171–188 (2003)
Li, Y., Pang, J.-x.: Sub-pixel edge detection based on spline interpolation of D2 and LoG operator. Journal of Huazhong University of Science and Technology 28(3), 77–79 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhou, H., Liu, Z., Yang, J. (2011). An Improved Sub-Pixel Location Method for Image Measurement. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23321-0_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-23321-0_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23320-3
Online ISBN: 978-3-642-23321-0
eBook Packages: Computer ScienceComputer Science (R0)