Enhancement of Shape Description and Representation by Slope
Representation and description of object shapes by the
slopes of their contours or borders are proposed. The idea is to capture
the essence of the features that make it easier for a shape to be
stored, transmitted, compared and recognized. These features must
be independent of translation, rotation and scaling of the shape. A
approach is proposed to obtain high performance, efficiency and to
merge the boundaries into sequence of straight line segments with
the fewest possible segments. Evaluation on the performance of the
proposed method is based on its comparison with established method
of object shape description.
[1] Zhang, D. and Lu, G. 2004. Review of shape representation and description
techniques. Pattern Recognition 37: 1-19
[2] Jagadish, H.V., 1991. A retrieval technique for similar shapes. In: ACM
SIGMOD Conf.: Management of Data, pp. 208-217.
[3] Sclaroff, S. and Pentland, A., 1995. modal matching for correspondence
and recognition. IEEE Trans. Pattern Anal. Machine Intell. 17 (6), 545-
561.
[4] Kupeev, K.Y. and Wolfson, H.J., 1994. On shape similarity. In: Conf. on
Pattern Recognition. Computer Society Press, pp. 227-231.
[5] Zhu, Y., De Silva, L.C. and Ko, C.C., 2002. Using moment invariants
and HMM in facial expression recognition. Pattern Recognition Lett. 23,
83-91.
[6] Niblack, W. et al, 1993. QBIC project: Querying images by content using
color, texture and shape. In: Conf. of Storage and Retrieval for Image and
Video Databases, San Jose, California, February.
[7] Mohamad, D., Sulong, G. and Ipson, S.S., 1995. Trademark matching
using invariant moments. In: Li, S. et al. (Eds.), Second Asian Conf. on
Computer Vision. Springer, Singapore, pp. I-439-I-444.
[8] Lu, G. and Sajjanhar, A., 1999. Region-based shape representation and
similarity measure suitable for content-based image retrieval. Multimedia
Systems 7 (2), 165-174.
[9] El-Rube, I., Kamel, M. and Ahmed, M., 2004. Wavelet-based affine
invariant shape matching and classification. In: ICIP Internat. Conf. on
Image Processing, Singapore.
[10] Cortelazzo, G. et al., 1994. Trademark shapes description by string
matching techniques. Pattern Recognition 27 (8), 1005-1018.
[11] Basri, R., Costa, L., Geiger, D. and Jacobs, D., 1998. Determining the
similarity of deformable shapes. Vision Res. (38), 2365-2385.
[12] Sebastian, T.B. and Kimia, B.B., 2001. Curves vs. skeletons in object
recognition. In: Internat. Conf. on Image Processing, pp. 22-25.
[13] Sebastian, T.B., Klein, P.N. and Kimia, B.B., 2003. A survey of shape
analysis techniques. IEEE Trans. Pattern Anal. Machine Intell. 25 (1),
116-125.
[14] Binsamma A. S. and AbdulSalam R. Adaptation of K Means Algorithm
for Image Segmentation. International Journal of Signal Processing 5:4
2009.
[15] Gopal, T. and Prasad, V. A Novel Approach to Shape Based Image
Retrieval Integrating Adapted Fourier Descriptors and Freeman Code.
IJCSNS International Journal of Computer Science and Network Security,
VOL.8 No.6, June 2008.
[16] Stahl, J. S. and Wang, S. 2008. Open Boundary Capable Edge Grouping
with Feature Maps. IEEE Transactions on Image Processing, 978 1 4244
2340.
[1] Zhang, D. and Lu, G. 2004. Review of shape representation and description
techniques. Pattern Recognition 37: 1-19
[2] Jagadish, H.V., 1991. A retrieval technique for similar shapes. In: ACM
SIGMOD Conf.: Management of Data, pp. 208-217.
[3] Sclaroff, S. and Pentland, A., 1995. modal matching for correspondence
and recognition. IEEE Trans. Pattern Anal. Machine Intell. 17 (6), 545-
561.
[4] Kupeev, K.Y. and Wolfson, H.J., 1994. On shape similarity. In: Conf. on
Pattern Recognition. Computer Society Press, pp. 227-231.
[5] Zhu, Y., De Silva, L.C. and Ko, C.C., 2002. Using moment invariants
and HMM in facial expression recognition. Pattern Recognition Lett. 23,
83-91.
[6] Niblack, W. et al, 1993. QBIC project: Querying images by content using
color, texture and shape. In: Conf. of Storage and Retrieval for Image and
Video Databases, San Jose, California, February.
[7] Mohamad, D., Sulong, G. and Ipson, S.S., 1995. Trademark matching
using invariant moments. In: Li, S. et al. (Eds.), Second Asian Conf. on
Computer Vision. Springer, Singapore, pp. I-439-I-444.
[8] Lu, G. and Sajjanhar, A., 1999. Region-based shape representation and
similarity measure suitable for content-based image retrieval. Multimedia
Systems 7 (2), 165-174.
[9] El-Rube, I., Kamel, M. and Ahmed, M., 2004. Wavelet-based affine
invariant shape matching and classification. In: ICIP Internat. Conf. on
Image Processing, Singapore.
[10] Cortelazzo, G. et al., 1994. Trademark shapes description by string
matching techniques. Pattern Recognition 27 (8), 1005-1018.
[11] Basri, R., Costa, L., Geiger, D. and Jacobs, D., 1998. Determining the
similarity of deformable shapes. Vision Res. (38), 2365-2385.
[12] Sebastian, T.B. and Kimia, B.B., 2001. Curves vs. skeletons in object
recognition. In: Internat. Conf. on Image Processing, pp. 22-25.
[13] Sebastian, T.B., Klein, P.N. and Kimia, B.B., 2003. A survey of shape
analysis techniques. IEEE Trans. Pattern Anal. Machine Intell. 25 (1),
116-125.
[14] Binsamma A. S. and AbdulSalam R. Adaptation of K Means Algorithm
for Image Segmentation. International Journal of Signal Processing 5:4
2009.
[15] Gopal, T. and Prasad, V. A Novel Approach to Shape Based Image
Retrieval Integrating Adapted Fourier Descriptors and Freeman Code.
IJCSNS International Journal of Computer Science and Network Security,
VOL.8 No.6, June 2008.
[16] Stahl, J. S. and Wang, S. 2008. Open Boundary Capable Edge Grouping
with Feature Maps. IEEE Transactions on Image Processing, 978 1 4244
2340.
@article{"International Journal of Information, Control and Computer Sciences:61280", author = "Ali Salem Bin Samma and Rosalina Abdul Salam", title = "Enhancement of Shape Description and Representation by Slope", abstract = "Representation and description of object shapes by the
slopes of their contours or borders are proposed. The idea is to capture
the essence of the features that make it easier for a shape to be
stored, transmitted, compared and recognized. These features must
be independent of translation, rotation and scaling of the shape. A
approach is proposed to obtain high performance, efficiency and to
merge the boundaries into sequence of straight line segments with
the fewest possible segments. Evaluation on the performance of the
proposed method is based on its comparison with established method
of object shape description.", keywords = "Shape description, Shape representation and Slope.", volume = "3", number = "8", pages = "2108-5", }
