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Segmentation of Objects in Log-Polar Space

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Języki publikacji
EN
Abstrakty
EN
The aim of this work was to develop a simple and fast yet robust algorithm for segmentation of objects in log-polar space. Assuming that some interesting parts of an image are selected by fixation of point of attention, pixels located close to fixation points are transformed to a log-polar space, then edge detection is performed. As a final step, detected edges are processed in a specific manner, which should lead to obtain boundaries of objects. After some smoothing, the detected boundaries are transformed back to a Cartesian space and are superimposed on an original image in order to show results of segmentation.
Twórcy
  • AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Department of Automatics and Biomedical Engineering
autor
  • AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Department of Automatics and Biomedical Engineering
Bibliografia
  • [1] Arbelaez, P., Maire, M., Fowlkes, C., Malik, J. (2011). Contour detection and hierarchical image segmentation. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 33(5), 898-916.
  • [2] Fischl, B., Cohen, M. A., Schwartz, E.L. (1997). The local structure of space-variant images. Neural Networks, 10(5), 815-831.
  • [3] Gonzalez, R.C., Woods, R.E. (2007). Digital image processing 3rd edition. Prentice Hall
  • [4] Gonzalez, R.C., Woods, R.E. Eddins, S.L. (2009). Digital Image Processing Using MATLAB, 2nd ed, Gatesmark Publishing
  • [5] Kubiak, A., Mikrut, Z., Tadeusiewicz, R. (2013). Assessment of grains and seeds quality using neural networks, Biomedical engineering - fundamentals and applications, Neural networks in biomedical engineering, Ed: R. Tadeusiewicz, J. Korbicz, L. Rutkowski, W. Duch, AOW Exit, (9), 171-190 (in Polish)
  • [6] Mikrut, Z., Kubiak, A. (2008). Recognition of wheat grain quality using log-hough representation and neural networks. Machine Graphics & Vision International Journal, 17(4), 425-449
  • [7] Mishra, A., Aloimonos, Y., Fah, C.L. (2009, September). Active segmentation with fixation. In Computer Vision, 2009 IEEE 12th International Conference on (pp. 468-475). IEEE
  • [8] Mishra, A.K., Aloimonos, Y., Cheong, L.F., Kassim, A. (2012). Active visual segmentation. Pattern Analysis and Machine Intelligence, IEEE Transactions On, 34(4), 639-653.
  • [9] Press, W.K. (2007). Digital Image Processing: PIKS Scientific Inside. Wiley Interscience, New York
Typ dokumentu
Bibliografia
Identyfikator YADDA
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