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Tytuł artykułu

Application of the Curvature Scale Space Descriptor to the Problem of General Shape Analysis

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Warianty tytułu
PL
Zastosowanie deskryptora CSS w problemie Ogólnej Analizy Kształtu
Języki publikacji
EN
Abstrakty
EN
In the paper the problem of General Shape Analysis (GSA) is investigated. It is similar to the recognition and retrieval of shapes. However, the analysed shape does not have to belong to any of the template classes. It is only similar to some of them. It may be said that the most general information about a shape is here concluded, namely how round, triangular, elliptical, etc. it is. This approach can be useful when an application uses only few general base classes. In the paper the Curvature Scale Space (CSS) shape description algorithm is applied to the problem.
PL
W artykule rozpatrywany jest problem Ogólnej Analizy Kształtu (OAK). Jest on zbliżony do rozpoznawania, a także indeksowania kształtów. Jednakże badany kształt nie musi należeć do żadnej z wzorcowych klas. Jest on jedynie podobny do niektórych z nich. Można powiedzieć, że w ten sposób wnioskujemy bardzo ogólną informację o kształcie – w jakim stopniu jest on okrągły, trójkątny, eliptyczny, itd. Omawiane podejście jest przydatne w zastosowaniach, w których stosuje się kilka podstawowych klas. W badaniach zastosowano deskryptor CSS.
Rocznik
Strony
209--212
Opis fizyczny
Bibliogr. 28 poz., rys.
Twórcy
  • West Pomeranian University of Technology, Szczecin, Faculty of Computer Science nad Information Technology, Żołnierska 52, 71-210, Szczecin, Poland, dfrejlichowski@wi.zut.edu.pl
Bibliografia
  • [1] Frejlichowski D., An Experimental Comparison of Seven Shape Descriptors in the General Shape Analysis Problem. In: A. Campilho and M. Kamel (Eds.): ICIAR 2010, Part I, Lecture Notes in Computer Science, 6111 (2010), 294-305
  • [2] Frejlichowski D., Forczmański P., General Shape Analysis Applied to Stamps Retrieval from Scanned Documents, In: D. Dicheva and D. Dochev (Eds.): AIMSA 2010, Lecture Notes in Artificial Intelligence, 6304 (2010), 251-260
  • [3] Rosin, P., Measuring Rectangularity. Machine Vision and Applications, 11 (1999), iss. 4, 191-196
  • [4] Rosin, P., Measuring shape: ellipticity, rectangularity, and triangularity. Machine Vision and Applications, 14 (2003), iss. 3, 172-184
  • [5] Rosin, P., Measuring sigmoidality, Pattern Recognition, 37 (2004), iss. 8, 1735-1744
  • [6] Rosin, P., Mumford, C., A symmetric convexity measure, Computer Vision and Image Understanding, 103 (2006), iss. 2, 101-111
  • [7] Rosin, P., A two-component rectilinearity measure, Computer Vision and Image Understanding, 109 (2008), iss. 2, 176-185
  • [8] Zunic, J., Hirota, K., Rosin, P., A Hu moment invariant as a shape circularity measure, Pattern Recognition, 43 (2010), iss. 1, 47-57
  • [9] Abbasi S., Mokhtarian F., Kittler J., Shape similarity retrieval using a height adjusted curvature scale space image. In: Proc. of 2nd International Conference on Visual Information Systems, 1997, San Diego, USA, (1997), 173-180
  • [10] Mokhtarian F., Khim Ung Y., Wang Z., Automatic fitting of digitised contours at multiple scales through the curvature scale space technique, Computers & Graphics, 29 (2005), iss. 6, 961-971
  • [11] Zhang D., Lu G., A comparative study of curvature scale space and Fourier descriptors for shape-based image retrieval, Journal of Visual Communication and Image Representation, 14 (2003), iss. 1, 39-57
  • [12] Abbasi S., Mokhtarian F., Enhancing CSS-based shape retrieval for objects with shallow concavities, Image and Vision Computing, 18 (2000), iss. 3, 199-211
  • [13] Mokhtarian F., Abbasi S., Shape similarity retrieval under affine transforms, Pattern Recognition, 35 (2002), iss. 1,31-41
  • [14] Mokhtarian F., Silhouette-based occluded object recognition through curvature scale space, Machine Vision and Applications, 10 (1997), iss. 3, 87-97
  • [15] Chang C.-C., Liu C.-Y., Tai W.-K., Feature alignment approach for hand posture recognition based on curvature scale space, Neurocomputing, 71 (2008), iss. 10-12, 1947-1953
  • [16] Zhang X., Lei M., Yang D., Wang Y., Ma L., Multi-scale curvature product for robust image corner detection in curvature scale space, Pattern Recognition Letters, 28 (2007), iss. 5, 545-554
  • [17] Mokhtarian F., Abbasi S., Robust automatic selection of optimal views in multi-view free-form object recognition, Pattern Recognition, 38 (2005), iss. 7, 1021-1031
  • [18] Cui M., Wonka P., Razdan A., Hu J., A new image registration scheme based on curvature scale space curve matching, The Visual Computer, 23 (2007), iss. 8, 607-618
  • [19] Bashir F. I., Khokhar A. A., Schonfeld D., View-invariant motion trajectory-based activity classification and recognition, Multimedia Systems, 12 (2006), iss. 1, 45-54
  • [20] Lee T.K., McLean D.I., Atkins M.S., Irregularity index: A new border irregularity measure for cutaneous melanocytic lesions, Medical Image Analysis, 7 (2003), iss. 1, 47-64
  • [21] Jalba A. C., Wilkinson M. H. F., Roerdink J. B. T. M.; Bayer M. M., Juggins S., Automatic diatom identification using contour analysis by morphological curvature scale spaces, Machine Vision and Applications, 16 (2005), iss. 4, 217-228
  • [22] Mohanna F., Mokhtarian F., An Efficient Active Contour Model Through Curvature Scale Space Filtering, Multimedia Tools and Applications, 21 (2003), nr. 3, 225-242
  • [23] Dyana A., Das S., Spatio-temporal Descriptor Using 3D Curvature Scale Space, In:A. Ghosh, R.K. De, and S.K. Pal (Eds.): PReMI 2007, Lecture Notes in Computer Science, 4815 (2007), 632–640
  • [24] Abbasi S., Mokhtarian F., Kittler J., Reliable classification of chrysanthemum leaves through Curvature Scale Space, In: Bart ter Haar Romeny, Luc Florack, Jan Koenderink and Max Viergever, Scale-Space Theory in Computer Vision, Lecture Notes in Computer Science, 1252 (1997), 284-295
  • [25] Backes A.R., Florindo J.B., Bruno O.M., A Novel Approach to Estimate Fractal Dimension from Closed Curves, In: Jiang X. and Petkov N., Computer Analysis of Images and Patterns, CAIP 2009, Lecture Notes in Computer Science, 5702 (2009), 253-260
  • [26] Roh M.-C., Christmas B., Kittler J., Lee S.-W., Robust Player Gesture Spotting and Recognition in Low-Resolution Sports Video, In: Leonardis A., Bischof H., and Pinz A., Computer Vision – ECCV 2006, Lecture Notes in Computer Science, 3954 (2006), 347-358
  • [27] Maghrebi W., Borchani A., Khabou M.A., Alimi A.M., A System for Historic Document Image Indexing and Retrieval Based on XML Database Conforming to MPEG7 Standard, In: W. Liu, J. Lladós, and J.-M. Ogier (Eds.): Graphics Recognition. Recent Advances and New Opportunities, 7th International Workshop, GREC 2007, Lecture Notes in Computer Science, 5046 (2008), 114-125
  • [28] Mokhtarian, F., Bober, M.: Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization, 2003
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPS1-0049-0055
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