Abstract
In the paper we present the employment of the direction field for contour detection and the segmentation of cylindrical objects, especially an eye iris. We propose a method of calculating the direction field for this kind of objects and present the obtained results. An analysis of the possibility of extending this approach on objects of different kinds is also included.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Ahlberg J.: A system for face localization and facial feature extraction, Technical Report (No. LiTH-ISY-R-2172), Linkoping University, Sweden, 2002.
Ajdari A. R., Faez K. Qaragozlou N.: Fast Circle Detection Using Gradient Pair Vectors, VIIth Digital Image Computing: Techniques and Applications, Sydney, 2003.
Donoho D., Huo X.: Beamlet pyramids: A new form of multiresolution analysis, suited for extracting lines, curves, and objects from very noisy image data. In Proceedings of SPIE, volume 4119, July 2000.
Donoho D., Huo X.: Beamlets and multiscale image analysis. In: T.J. Barth, T. Chan, and R. Haimes (Eds.), Springer Lecture Notes in Computational Science and Engineer-ing 2001, 149–196.
Duda R.O., Hart P.E.: Use of the Hough Transformation to detect lines and curves in pictures, Communications of the Association of Computing Machinery 15 (1972) 11–15.
Gorodnichy D., Malik S., Roth G.: Affordable 3D face tracking using projective vision. In Proc. Intern. Conf. On Vision Interface (VI’ 2002), Calgary, May 2002.
Hough P. V. C: Method and means for recognizing complex patterns, U.S. Patent 3069654, 1962
Kass M., Witkin A., Terzopoulos D.: Snake: active contour models, Int. J. Computer Vision, 1(4), 1987, 321–331
Koprowski R., Wrobel Z.: Analysis of the inclination of elongated biological objects-microtubules, sent to Medical Image Analysis, 2006.
Koprowski R., Wrobel Z.: Estimation of the properties of algorithms for measuring the inclination angle of elongated objects, sent to Image and Vision Computing, 2006.
Korepanov A. O. Central lines extraction on the diagnostic vessel images using the methods of wavelet-analysis and differential geometry, 7 th, International Conference on Pattern Recognition and Image Analysis: New Information Technologies, PRIA-7-2004, Volume III, 740–743.
Lacroix V., Acheroy M.: Feature-extraction using the constrained gradient. ISPRS Journal of Photogrammetry and Remote Sensing, 53(2):April 1998.
Libor M.: Recognition of Human Iris Patterns for Biometric Identification, PhD, Institute of Automation, Chinese Academy of Sciences, 2003.
Lien J.J., Kanade T., Cohn J., Li C.: Detection, tracking, and classification of subtle changes in facial expression, Journal of Robotics and Autonomous Systems, Vol. 31, 131–146, 2000.
Mian Z., Kassim A. A., Mannan M. A., Texture Analysis Of Machined Surfaces Using A New Hough Transform, Proceedings of Texture 2002-The 2nd international workshop on texture analysis and synthesis, pp. 35–41, June 1st, 2002, Copenhagen
Rosenfeld S. Thurston M., Edge and curve detection for visual scene analysis, IEEE Trans. Comput. C-20, pp. 562–569, 1971.
Serra. J.: Image Analysis and Mathematical Morphology. Volume 2: Theoretical Ad-vances. Academic Press, 1988.
Song J., Cai M., Lyu M. R., Cai S.: A New Approach for Line Recognition in Large-size Images Using Hough Transform, International Conference on Pattern Recognition 2005.
Tian Y.L., Kanade T., Cohn J.F.: Recognizing action units for facial expression analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, 23, 97–116, 2001
Ting-jen Y.: A Qualitative Profile-based Approach to Edge Detection (Near-Optimal Detection of Geometric Objects by Fast Multiscale Methods), Phd, Department of Com-puter Science New York University, September 2003.
Xu C., Prince J. L.: Gradient vector flow: a new external force for Snake, IEEE Proc. Conf. on CVPR’97, 1997, 66–71
Yang M., Ahuja N., Kriegman D.: Detecting faces in mages: A survey. IEEE Transaction on Pattern Analysis and Machine Intelligence, 24(1): 2002, 34–58.
Yuanxin Zhu, Bridget Carragher, David Kriegman, and Clinton S. Potter Perceptual Or-ganization as a Method for Detection and Selection of Filamentous Structures in Highly Noisy Images Acquired by Cryoelectron Microscopy Journal of Structural Biology, 2001.
Yuille A., Hallinan P., Cohen D.: Feature Extraction from Faces Using Deformable Templates, International Journal of Computer Vision, 8(2): 99–111, 1992.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Koprowski, R., Wrobel, Z. (2007). Determining the Contour of Cylindrical Biological Objects Using the Directional Field. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds) Computer Recognition Systems 2. Advances in Soft Computing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75175-5_2
Download citation
DOI: https://doi.org/10.1007/978-3-540-75175-5_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75174-8
Online ISBN: 978-3-540-75175-5
eBook Packages: EngineeringEngineering (R0)