QuanDong Feng
College of Science, Beijing Forestry University, Beijing, 100086, People`s Republic of China
Xin Zhang
School of Electrical Engineering and Automation, Tianjin Polytechnic University, 300387, Tianjin, People`s Republic of China
ABSTRACT
Many techniques for locating circular objects in images have been presented. However, it's still a challenge to extract circles for images coincidently with weak contrast in strong complex backgrounds. In this study, we propose a computational method using global symmetry, which can robustly locate circles in images. Furthermore, it can independently inspect circular objects with simple patterns. Our method aims at designing a symmetry measure based on distance weight, phase weight and intensity weight. Then based on the measure, a systemic approach is given to inspect arbitrary circular objects under uncertain situations in virtue of an invariant content-based descriptor. The experimental results show the presented approach to be promising.
PDF References Citation
How to cite this article
QuanDong Feng and Xin Zhang, 2013. Model Research of Location and Inspection for Circular Objects and its Application. Information Technology Journal, 12: 4588-4592.
DOI: 10.3923/itj.2013.4588.4592
URL: https://scialert.net/abstract/?doi=itj.2013.4588.4592
DOI: 10.3923/itj.2013.4588.4592
URL: https://scialert.net/abstract/?doi=itj.2013.4588.4592
REFERENCES
- Ballard, D.H., 1981. Generalizing the hough transform to detect arbitrary shapes. Patt. Recog., 13: 111-122.
CrossRef - Beck, D.M., M.A. Pinsk and S. Kastner, 2005. Symmetry perception in humans. Trends Cogn. Sci., 9: 405-406.
CrossRef - Cao, M.Y., C.H. Ye, O. Doessel and C. Liu, 2006. Spherical parameter detection based on hierarchical hough transform. Pattern Recogn. Lett., 27: 980-986.
CrossRef - Dakin, S.C. and A.M. Herbert, 1998. The spatial region of integration for visual symmetry detection. Proc. R. Soc. Lond. B, 65: 659-664.
CrossRef - Gofman, Y. and N. Kiryati, 1996. Detecting symmetry in grey level images: The global optimization approach. Proceedings of the 13th International Conference on Pattern Recognition, August 25-29, 1996, Vienna, Austria, pp: 889-894.
CrossRef - Gong, X., A. Subramanian and C.L. Wyatt, 2007. A two-stage algorithm for shoreline detection. Proceedings of the 8th IEEE Workshop on Applications of Computer Vision, February 2007, Austin, TX., pp: 40.
CrossRef - Labonte, F., Y. Shapira, P. Cohen and P. Faubert, 1995. A model for global symmetry detection in dense images. Spat. Vis., 9: 33-55.
CrossRef - Loy, G. and A. Zelinsky, 2003. Fast radial symmetry for detecting points. IEEE Trans. Pattern Anal. Mach. Int., 25: 959-973.
CrossRef - Lucchese, L. and G.M. Cortelazzo, 2000. A noise-robust frequency domain technique for estimating planar roto-translations. IEEE Trans. Signal Process., 48: 1769-1786.
CrossRef - Milanese, R., M. Cherbuliez and T. Pun, 1998. Invariant content-based image retrieval using the fourier-mellin transform. Proceedings of the International Conference on Advances in Pattern Recognition, November 23-25, 1998, Plymouth, UK., pp: 73-82.
CrossRef - Milner, D., S. Raz, H. Hel-Or, D. Keren and E. Nevo, 2007. A new measure of symmetry and its application to classification of bifurcating structures. Pattern Recog., 40: 2237-2250.
CrossRef - Muller, H., W. Muller, D.M.G. Squire, S. Marchand-Maillet and T. Pun, 2001. Performance evaluation in content-based image retrieval: Overview and proposals. Pattern Recog. Lett., 22: 593-601.
CrossRef - Yip, R.K.K., 2007. Genetic fourier descriptor for the detection of rotational symmetry. Image Vis. Comput., 25: 148-154.
CrossRefDirect Link - Reisfeld, D., H. Wolfson and Y. Yeshurun, 1990. Detection of interest points using symmetry. Proceedings of the 3rd International Conference on Computer Vision, December 4-7, 1990, Osaka, Japan, pp: 62-65.
CrossRef - Xin, Y., M. Pawlak and S. Liao, 2007. Accurate computation of Zernike moments in polar coordinates. IEEE Trans. Image Process., 16: 581-587.
CrossRef - Zavidovique, B. and V.D. Gesu, 2007. Pyramid symmetry transforms: From local to global symmetry. Image Vis. Comput., 25: 220-229.
CrossRefDirect Link