Abstract
In this paper we introduce a new abstract image representation based on Edge Pixel Neighborhood Information (EPNI). It is applied in image retrieval problem when user query is a fast drawn, rough example. The representation consists of two main elements. A neighborhood vector f and a vicinity table v. The former contains the frequencies of edge pixels with similar directions and the latter holds information about neighboring edge directions. An image similarity measure based on EPNI components is also designed and compared with some other measures known from the literature. Experimental results show a good recognition accuracy in a data set containing a wide range of color images.
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References
W. Niblack, R. Barber, W. Equitz, M. Flickner, E. Glasman, D. Petkovic, P. Yanker, C. Faloutsos, and G. Taubin, “The QBIC project: querying images by content using color, texture, and shape,” in Proceedings of Spie, USA, 1993, vol. 1908, pp. 173–187.
A. Pentland, R. W. Picard, and S. Sclaroff, “Photobook: content-based manipulation of image databases,” International Journal of Computer Vision, vol. 18, no. 3, pp. 233–254, June 1996.
T. P. Minka and R. W. Picard, “Interactive learning with a ”society of models”,” Pattern Recognition, vol. 30, no. 4, pp. 565–581, Apr. 1997.
J. R. Smith and S. Chang, “Visualseek: a fully automated content-based image query system,” in Proceedings ACM Multimedia 96., NY, USA, 1996, pp. 87–98.
M. Beigi, A. B Benitez, and S. Chang, “Metaseek: a content-based meta-search engine for images,” in Proceedings of Spie, USA, 1997, vol. 3312, pp. 118–128.
B. S. Manjunath, J.-R. Ohm, and V. V. Vasudevan, “Color and texture descriptors,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 11, no. 6, pp. 703–715, June 2001.
M. Bober, “Mpeg-7 visual shape descriptors,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 11, no. 6, pp. 716–719, June 2001.
K. Hirata and T. Kato, “Query by visual example-content based image retrieval,” in Advances in Database Technology-EDBT’ 92, Berlin, Germany, 1992, pp. 56–71.
A. D. Bimbo, Visual information retrieval, Morgan Kaufmann Publishers, 1999.
D. Mohamad, G. Sulong, and S. S. Ipson, “Trademark matching using invariant moments,” in Proceedings second Asian Conference on Computer Vision, [ACVV’95]., Singapore, 1995, vol. 1, pp. 439–444.
D. P. Huttenlocher, W. J. Rucklidge, and G. A. Klanderman, “Comparing images using the Hausdorff distance under translation,” in Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Los Alamitos, CA, USA, 1992, pp. 654–656.
D. P. Huttenlocher, G. A. Klanderman, and W. J. Rucklidge, “Comparing images using the Hausdorff distance,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, no. 9, pp. 850–863, Sept. 1993.
C. S. Won, D. K. Park, and S Park, “Efficient use of Mpeg-7 edge histogram descriptor,” Etri Journal, vol. 24, no. 1, pp. 23–30, Feb. 2002.
M. Abdel-Mottaleb, “Image retrieval based on edge representation,” in Proceedings 2000 International Conference on Image Processing, Piscatway, NJ, USA, 2000, vol. 3, pp. 734–737.
A. K. Jain and A. Vailaya, “Image retrieval using color and shape,” Pattern Recognition, vol. 29, no. 8, pp. 1233–1244, Aug. 1996.
J. Canny, “A computational approach to edge detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PAMI-8, no. 6, pp. 679–698, Nov. 1986.
S. Brandt, J. Laaksonen, and E. Oja, “Statistical shape features in content-based image retrieval,” in Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, Los Almaitos, CA, USA, 2000, vol. 2, pp. 1062–1065.
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Chalechale, A., Mertins, A. (2002). An Abstract Image Representation Based on Edge Pixel Neighborhood Information (EPNI). In: Shafazand, H., Tjoa, A.M. (eds) EurAsia-ICT 2002: Information and Communication Technology. EurAsia-ICT 2002. Lecture Notes in Computer Science, vol 2510. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36087-5_8
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DOI: https://doi.org/10.1007/3-540-36087-5_8
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