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Analysis of the inclination of elongated biological objects : microtubules

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the paper we propose a new method for determining the inclination angle of microtubules. The method allows us to obtaining an angular inclination histogram, taking into account the area of microtubules rather than their number only. We present two kinds of microtubule approximation: global and local one. In the global approach microtubules are approximated with one or more straight lines, whereas the local approach defines a direction field for each pixel.
Rocznik
Strony
201--215
Opis fizyczny
Bibliogr. 26 poz., rys., tab., wykr.
Twórcy
autor
autor
  • University of Silesia, Faculty of Computer Science and Materials Science Institute of Computer Science, Department of Biomedical Computer Systems, 39 Bedzinska str., 41-200 Sosnowiec, koprow@us.edu.pl
Bibliografia
  • [1] Hough P. V. C.: Method and means for recognizing complex patterns, U.S. Patent 3069654, 1962.
  • [2] 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.
  • [3] Hejnowicz Z., Romberger J. A.: Growth tensor of plant organs. J. Theor. Bot., 110: 93-114, 1984.
  • [4] Hejnowicz Z.: Trajectories of principal growth directions. Natural coordinate system in plant growth. Acta Soc. Bot.Pol., 53: 29-42, 1984.
  • [5] Canny J.: A computational approach to edge edtection, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-8, No. 6, pp. 679-698, 1986.
  • [6] Chee-Da F., Tsai A.: Probabilistic approach to geometrie hashing using Line Features Phd Professor Jacob T. Schwartz Research Advisor, 1993.
  • [7] Xu L., Oja E.: Randomized hough transform (RHT): basie mechanisms, algorithms, and computational complexities. CVGIP - Image Understanding, vol. 57, no. 2, 131-154, 1993.
  • [8] Oshiro N, Maru N, Nishikawa A, Miyazaki F.: Binocular tracking using Log Polar Mapping. In Proc. of the 1996 IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems, vol.2, pp.791-8. New York, NY, USA, 1996.
  • [9] Steger C.: An unbiased detector of curvilinear structures, Technical Report EGRY-96-03, Forschungsgruppe Bildverstehen (FG BV), Informatik IX, Technische Universitat Munchen, July, 1996.
  • [10] Lacroix V., Acheroy M.: Feature-extraction using the constrained gradient. ISPRS Journal of Photogrammetry and Remote Sensing, 53 (2): April, 1998.
  • [11] 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.
  • [12] Kesidis A. L., Papamarkos N.: On the gray-scale inverse Hough transform, Image and Vision Computing 18 (2000) 607-618.
  • [13] 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 Engineering, 149-196, 2001.
  • [14] Lacroix V.: Ridge Extraction, Vision Interface, June, 2001.
  • [15] Turan J., Farkas P.: Line fitting using hough-like procedure, Radioengineering 25, Vol. 10, No. L, April, 2001.
  • [16] Zhu Y., Carragher B., Kriegman D., and Potter C. S.: Perceptual organization as a method for detection and selection of filamentous structures in highly noisy images acquired by Cryoelectron Microscopy Journal of Structural Biology, 2001.
  • [17] Zorski W., Blackledge J., Turner M.: Fingerprint and Iris identification method based on the Hough Transform, Biuletyn Instytutu Automatyki i Robotyki WAT, NR 15., 2001.
  • [18] 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 work-shop on texture analysis and synthesis, pp. 35-41, June Ist, Copenhagen, 2002.
  • [19] Cheng Y. C., Liu Y.-S.: Polling an image for circles by random lines, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25 no. l pp. 125- 130, January, 2003.
  • [20] Rad A. A., Faez K., Qaragozlou N.: Fast Circle Detection Using Gradient Pair Vectors Proc. VI-Ith Digital Image Computing: Techniąues and Applications, Sun C., Talbot H., Ourselin S. and Adriaansen T. (Eds.), 10-12 Dec., Sydney, 2003.
  • [21] Ting-jen Y.: A qualitative profile-based approach to edge detection (Near-Optimal Detection of Geometrie Objects by Fast Multiscale Methods), Phd, Department of Computer Science New York University, September, 2003.
  • [22] Revell J. D.: Computer vision elastography, Phd, December, 2004.
  • [23] Stephen J., Maybank E.: Detection of image structures using the fisher information and the Rao Metric IEEE Transactions On Pattern Analysis And Machinę Intelligence, Vol. 26, No. 12, December, 2004.
  • [24] Koprowski R., Wrobel Z.: Automatic segmentation of biological celi Structures based on conditional opening and closing, MGV, Vol. 14, No. 3, 2005.
  • [25] 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.
  • [26] Koprowski R., Wrobel Z.: Saturation level measurement of staining reaction of celi structures., sent to the Editor MGV, 2005.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA1-0032-0011
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