Turning angle based representation for planar objects

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Turning angle based representation for planar objects

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A new approach for pattern description is presented. Based on a multi-scale analysis of closed contours, this method deals with the differential turning angle extracted from a progressively smoothed contour to generate the differential-turning angle scale space (d-TASS) map. Experimental results show that the d-TASS map is closely related to the contour and it is resistant to affine transformation and so well-suited for pattern description.

Inspec keywords: pattern recognition; edge detection

Other keywords: closed contours multiscale analysis; differential turning angle based representation; differential-turning angle scale space map; pattern description; planar objects

Subjects: Image recognition; Computer vision and image processing techniques; Image recognition

References

    1. 1)
      • Niblack, W., Yin, J.: `A pseudo-distance measure for 2D shapes based on turning angle', Proc. Int. Conf. on Image Processing (ICIP'95), October 1995, 3, p. 352–355.
    2. 2)
      • M. Esther , L.P. Arkin , D. Chew , P. Huttenlocker , K. Kedem , J.S.B. Mitchell . An efficiently computable metric for comparing polygonal shapes. IEEE Tran. Pattern Anal. Mach. Intell. , 3 , 209 - 216
    3. 3)
      • J. Feldman , M. Singh . Theoretical note: information along contours and object boundaries. Psychological Rev., The American Psychological Association , 1 , 243 - 252
    4. 4)
    5. 5)
      • Bruckstein, A.M., Rivlin, E., Weiss, I.: `Recognizing objects using scale space local invariants', Proc. Int. Conf. on Pattern Recognition (ICPR’96), August 1996, Vienna, Austria, p. 760–764.
    6. 6)
    7. 7)
      • T. Lindeberg . (1994) Scale-space theory in computer vision.
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