IPAS 2014: Precision Assembly Technologies and Systems pp 69-78 | Cite as
Image Stitching Based Measurements of Medical Screws
Abstract
Image stitching is a method that forms a bigger image out of two or more smaller images with a certain overlap in their field-of-view. Usage of this technique is present in photography, medical imaging and other fields as well. The potential for using image stitching for measurement purposes in industrial applications has not been investigated as thoroughly, but it is receiving more attention. This paper examines the possibility for creating a machine vision-based measurement system that employs commercially available image-stitching platforms for measuring the length of long medical screws. Three methodologies were tested for performing medical screw measurements and this paper summarizes the findings of the image-stitching approach.
Keywords
image stitching measurements machine visionPreview
Unable to display preview. Download preview PDF.
References
- 1.Törmälä, P., Vainioapää, S., Rokkanen, P.: U.S. Patent No. 5,084,051. Washington DC (January 28, 1992)Google Scholar
- 2.Fu, J., Dixson, R., Orji, G., Vorburger, T., Nguyen, C.V.: Linewidth measurement from a stitched AFM image. International Conference on Characterization and Metrology for ULSI Technology. American Institute of Physics, Dallas (2005)Google Scholar
- 3.Chu, W., Fu, J., Vorburger, T.V.: Subpixel image stitching for linewidth measurement based on digital image correlation. Measurement Science and Technology, 105104 (5pp) (2010)Google Scholar
- 4.Srimawong, P., Krisanachinda, A., Chindasombatjaroen, J.: Accuracy of Linear Measurements in Stitched Versus Non-Stitched Cone Beam Computed Tomography Images. In: Challenges of Quality Assurance in Radiation Medicine, p. 40. Phitsanulok, Thailand (2012)Google Scholar
- 5.Nanosurf Application Note (n.d.). Analyzing Large Surfaces using AFM Stitching. Liestal, SwitzerlandGoogle Scholar
- 6.Nielsen, H.S.: ISO 14253-1 Decision Rules–Good or Bad. NCSL-I Workshop and Symposium, p. 7. Charlotte, NC, USA (1999)Google Scholar
- 7.Olshausen, B.A.: Aliasing. PSC 129–Sensory Processes, 1-6 (2000)Google Scholar
- 8.Candès, E.J., Wakin, M.B.: An Introduction To Compressive Sampling. IEEE Signal Processing Magazine, 21–30 (2008)Google Scholar
- 9.Levin, A., Zomet, A., Peleg, S., Weiss, Y.: Seamless Image Stitching in the Gradient Domain. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3024, pp. 377–389. Springer, Heidelberg (2004)CrossRefGoogle Scholar