
Figure - On the left an original image marble, and on the rigth the
respective marble signature showing the homogeneous regions obtained by
our quadtree approach (images with low resolution).
PDF
file: paper
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Abstract: Automatic marbles
classification based on their visual appearance is an important
industrial issue. However, there is no definitive solution to the
problem mainly due to the presence of randomly distributed high number
of different colours and its subjective evaluation by the human expert.
In this paper we present a study of segmentation techniques, we
evaluate they overall performance using a training set and standard
quality measures and finally we apply different clustering techniques
to automatically classify the marbles.
Keywords: Segmentation, Clustering,
Quadtrees, Learning Vector Quantization (LVQ), Simulated Annealing
(SA), Image Processing, Image Analysis.
Related
Works:
70. Ramos, V., Fernandes, C.,
Rosa, A.C., Abraham, A., Computational Chemotaxis
in Ants and Bacteria
over Dynamic
Environments, submitted to CEC´07 -
Congress on Evolutionary
Computation, IEEE Press,
Singapore, 25-28 Sep. 2007.
69. Fernandes, C.,
Rosa, A.C., Ramos V., Binary Ant Algorithm,
to appear in GECCO´07 - Genetic and Evolutionary
Computation Conference, ACM
Press, London, UK, 7-11 July, 2007.
31. Vitorino Ramos,
Fernando Muge, Map Segmentation by Colour Cube
Genetic K-Mean
Clustering, Proc. of ECDL´2000 - 4th European
Conference on Research and Advanced
Technology for Digital Libraries, J. Borbinha and
T. Baker (Eds.), ISBN 3-540-41023-6, Lecture Notes in Computer Science,
Vol. 1923, pp. 319-323, Springer-Verlag
-Heidelberg, Lisbon, Portugal,
18-20 Sep. 2000.
53. Vitorino Ramos,
Jonathan Campbell, John Slater, John Gillespie, Ivan F. Bendezu and
Fionn Murtagh, Swarming around Shellfish Larvae
Images, in WCLC-05, 2nd
World
Congress on Lateral Computing, Bangalore,
India, 16-18 Dec., 2005.
62. Abraham, Ajith;
Grosan, Crina; Ramos, Vitorino (Eds.), Swarm Intelligence in Data
Mining, Studies in Computational Intelligence (series), Vol. 34, Springer-Verlag, ISBN:
3-540-34955-3, 267 p., Hardcover, 2006.
39. Vitorino Ramos,
Fernando Muge, Pedro Pina, Self-Organized Data
and Image Retrieval as a
Consequence of Inter-Dynamic Synergistic Relationships in Artificial
Ant Colonies, in Javier Ruiz-del-Solar, Ajith Abraham and Mario
Köppen (Eds.), Frontiers in Artificial Intelligence and
Applications, Soft Computing Systems
- Design, Management and
Applications, 2nd Int. Conf. on Hybrid Intelligent
Systems, IOS
Press, Vol. 87, ISBN 1 5860 32976, pp. 500-509, Santiago, Chile,
Dec.
2002.
35. Vitorino Ramos, The
Biological Concept of Neoteny in Evolutionary Colour Image Segmentation
- Simple Experiments in Simple Non-Memetic Genetic Algorithms, in Applications of Evolutionary
Computation, (Eds.), EvoIASP´01 -
3rd European Workshop on Evolutionary Computation in Image Analysis and
Signal Processing [helded by EuroGP´01 - European Conference on
Genetic Programming], Lake Como, Milan, Italy, Lecture Notes in
Computer Science, Vol. 2037, pp. 364-378, Springer-Verlag,
Berlin-Heidelberg, April 18-20, 2001.
37. Vitorino Ramos, On
the Implicit and on the Artificial - Morphogenesis and Emergent
Aesthetics in Autonomous Collective Systems, in ARCHITOPIA Book, Art,
Architecture and Science, INSTITUT D'ART CONTEMPORAIN, J.L.
Maubant et
al. (Eds.), pp. 25-57, Chapter 2, ISBN 2905985631 - EAN 9782905985637,
France, Feb. 2002.
51. Vitorino Ramos, Ajith
Abraham, Evolving a Stigmergic Self-Organized
Data-Mining, in ISDA-04,
4th Int. Conf. on Intelligent Systems, Design and Applications,
Budapest, Hungary, ISBN 963-7154-30-2, pp. 725-730, August 26-28, 2004.