Image processing in case-based reasoning

Knowledge Engineering Review

Volumn 20, Issue 3, 2005, Pages 311-314

  Perner, Petra ^a   Holt, Alec ^b   Richter, Michael ^c  

^a Institute of Computer Vision and Applied Computer Sciences   (Germany)

^b UNIVERSITY OF OTAGO   (New Zealand)

^c UNIVERSITY OF CALGARY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTERIZED TOMOGRAPHY; DATA ACQUISITION; KNOWLEDGE BASED SYSTEMS; REMOTE SENSING; TECHNICAL PRESENTATIONS;

CASE-BASED REASONING (CBR); LANDMARK PUBLICATIONS;

IMAGE PROCESSING;

EID: 33646592223     PISSN: 02698889     EISSN: 14698005     Source Type: Journal    
DOI: 10.1017/S0269888906000671     Document Type: Review

References (24)

1. Carswell, J.D, Wilson, DC and Bertolotto, M, 2002, Digital image similarity for geo-spatial knowledge management. Proceedings of the 6th European Conference on Case-Based Reasoning (ECCBR2002) (Lecture Notes in Artificial Intelligence). Berlin: Springer, pp. 58-72.
2. Ficet-Cauchard, V, Porquet, C and Revenu, M, 1999, CBR for the reuse of image processing knowledge: a recursive retrieval/adaption strategy. In Althoff, K-D, Bergmann, R and Branting, LK (eds) Case-Based Reasoning Research & Development. Berlin: Springer, pp. 438-453.
3. Grimnes, M and Aamodt, A, 1996, A two layer case-based reasoning architecture for medical image understanding. In Smith, I and Faltings, B (eds) Advances in Case-Based Reasoning. Berlin: Springer, pp. 164-178.
4. Haddad, M, Adlassnig, K-P and Porenta, G, 1997, Feasibility analysis of a case-based reasoning system for automated detection of coronary heart disease from myocardial scintigrams. Artificial Intelligence in Medicine 9, 61-78.
5. Holt, A and Benwell, GL, 1996, Case-based reasoning and spatial analysis. Journal of the Urban and Regional Information Systems Association 8(1), 27-36.
6. Holt, A and Benwell, GL, 1999, Applying case-based reasoning techniques in GIS. International Journal of Geographical Information Science 13(1), 9-25.
7. Jarmulak, J, 1998, Case-based classification of ultrasonic B-Scans: case-base organisation and case retrieval. In Smyth, B and Cunningham, P (eds) Advances in Case-Based Reasoning. Berlin: Springer, pp. 100-111.
8. Jaulent, MC, Le Bozec, C, Zapletal, E and Degoulet, P, 1998, Case based diagnosis in histopathology of breast tumours. MedInfo 9(1), 544-548.
9. Jones, EK and Roydhouse, A, 1994, Intelligent retrieval of historical meteorological data. AI Applications 8, 43-54.
10. Macura, R and Macura, K, 1995, MacRad: radiology image resource with a case-based retrieval system. In Veloso, M and Aamodt, A (eds) Case-Based Reasoning: Research and Development. Berlin: Springer, pp. 43-45.
11. Micarelli, A, Neri, A and Sansonetti, G, 2000, A case-based approach to image recognition. In Blanzieri, E and Portinale, L (eds) Advances in Case-Based Reasoning. Berlin: Springer, pp. 443-454.
12. O'Sullivan, D, McLoughlin, E, Bertolotto, M and Wilson, D, 2004, A case-based approach to managing geo-spatial imagery tasks. Proceedings of the 7th European Conference on Case-Based Reasoning (ECCBR'04) (Lecture Notes in Artificial Intelligence). Berlin: Springer, pp. 702-716.
13. O'Sullivan, D, McLoughlin, E, Bertolotto, M and Wilson, D, 2005, Capturing and reusing case-based context for image retrieval. Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI-05). San Francisco, CA: Morgan Kaufmann, pp. 1574-1576.
14. Perner, P, Case-Based Reasoning For Image Interpretation in Non-destructive Testing, In: M. Richter, S. Wess, K.-D. Althoff, F. Mauer, First European Workshop on Case-Based Reasoning, EWCBR-93, SFB 314 Univ. Kaiserslautern, Vol. II, pp. 403-410.
15. Perner, P. 1998, Different learning strategies in a case-based reasoning system for image interpretation. In Smyth, B and Cunningham, P (eds) Advances in Case-Based Reasoning (Lecture Notes in Artificial Intelligence, 1488). Berlin: Springer, pp. 251-261.
16. Perner, P, 1999, An architecture for a CBR image segmentation system. Journal on Engineering Application in Artificial Intelligence, Engineering Applications of Artificial Intelligence 12(6), 749-759.
17. Perner, P, 2000, CBR ultra sonic image interpretation. In Blanzieri, E and Portinale, L. (eds.), Advances in Case-based Reasoning (Lecture Notes in Artificial Intelligence, 1898). Berlin: Springer, pp. 479-481.
18. Perner, P, 2001, Why case-based reasoning is attractive for image interpretation. In Aha, DW and Watson, I (eds) Case-based Reasoning Research and Developments (Lecture Notes in Artificial Intelligence, 2080). Berlin: Springer, pp. 27-44.
19. Perner, P, 2002, Are case-based reasoning and dissimilarity-based classification two sides of the same coin? Journal Engineering Applications of Artificial Intelligence 15(3), 205-216.
20. Perner, P, 2003, Incremental learning of retrieval knowledge in a case-based reasoning system. In Ashley, KD and Bridge, DG (eds) Case-Based Reasoning - Research and Development (Lecture Notes in Artificial Intelligence, 2689). Berlin: Springer, pp. 422-436.
21. Perner, P and Bühring, A, 2004, Case-based object recognition. In Funk, P and Gonzalez Calero, PA (eds) Advances in Case-Based Reasoning (Lecture Notes in Artificial Intelligence, 3155). Berlin: Springer, pp. 375-388.
22. Perner, P, Günther, TH, Perner, H, Fiss, G and Ernst, R, 2003, Health monitoring by an image interpretation system - a system for airborne fungi identification. In Perner, P, Brause, R and Holzhütter, H-G (eds) Medical Data Analysis (Lecture Notes in Computer Science, 2868). Berlin: Springer, pp. 64-77.
23. Perner, P and Jähnichen, S, 2004, Case acquisition and case mining for case-based object recognition. In Funk, P and Gonzalez Calero, PA (eds) Advances in Case-Based Reasoning (Lecture Notes in Artificial Intelligence, 3155). Berlin: Springer, pp. 616-629.
24. Perner, P, Perner, H and Müller, B, 2002, Similarity guided learning of the case description and improvement of the system performance in an image classification system. In Craw, S. and Preece, A (eds) Advances in Case-Based Reasoning (ECCBR2002) (Lecture Notes in Artificial Intelligence, 2416). Berlin: Springer, pp. 604-612.