Determining the appropriate feature set for fish classification tasks

Brazilian Symposium of Computer Graphic and Image Processing

Volumn 2005, Issue , 2005, Pages 173-180

  Nery, M S ^a   Machado, A M ^a   Campos, M F M ^b   Padua F L C ^b   Carceroni, R ^b   Queiroz Neto, J P ^c  

^a PONTIFICAL CATHOLIC UNIVERSITY OF MINAS GERAIS   (Brazil)

^b FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^c INSTITUTO FEDERAL DE EDUCAÇÃO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DAMS; RIVERS;

FEATURE SELECTION; FEATURE SETS; FISH CLASSIFICATION;

FEATURE EXTRACTION;

EID: 33847281409     PISSN: 15301834     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIBGRAPI.2005.25     Document Type: Conference Paper

References (13)

1. H. Godinho and A. Godinho. Fish Communities in Southeastern Brazilian River Basins Submitted to Hydroelectric Impoundments. Acta Limnologica Brasuiensia, 5:187-197, 1994.
2. E. Woynarovich. The Hydroelectric Power Plants and the Fish Fauna. Verh. Internat. Verein. Limnol., 24:2531-2536, 1991.
3. C. de Transposição de Peixes. Endereço eletrônico: http://www.ctpeixes.ufmg.br/, 2004.
4. S. Cadieux, F. Lalonde, and F. Michaud. Intelligent System for Automated Fish Sorting and Counting. Proceedings of the IEEE International Conference on Intelligent Robots and Systems, 2000.
5. C. Bendall, S. Hibert, and G. Mueller. Experiments in Situ Fish Recognition Systems Using Fish Spectral and Spatial Signatures. Open File No.99-104, U.S. Depart, of the Interior - Bureau of Reclamation, 1999.
6. E. Dadios, A. Calderon, J. Ledesma, C. Que, and C. Sy. Knowledge Based Vision Guided Fish Weight Sorter. Proceedings of the Philippines Computing Science Congress, November 2000.
7. R. Gonzalez and R. Woods. Processamento Digital de Imagens. Edgard Blücher Ltda, São Paulo, 2000.
8. M. Sonka, V. Hlavac, and R. Boyle. Image Processing Analysis and Machine Vision. PWS Publishing, Pacific Grove, California. USA, 2nd. edition, 1999.
9. M. K. Hu. Visual Pattern Recognition by Moment Invariants. IRE Transactions Information Theory, 8(2):179-187, 1962.
10. M. H. A. Keenleyside. Diversity and Adaptation in Fish Behavior. New York: Springer-Verlag, 1979.
11. Y. Kim, W. N. Street, F. Menczer, and G. J. Russell. Data Mining: Opportunities and Challenges. Idea Group Publishing, 2001.
12. K. R. Castleman. Digital Image Processing. Prentice Hall, Upper Saddle River, New Jersey. USA, 1996.
13. R. O. Duda and P. E. Hart. Pattern Classification and Scene Analysis. John Wiley & Sons, NY, USA, 1973.