Plus ça va, moins ça va

Pattern Recognition Letters

Volumn 17, Issue 7, 1996, Pages 671-677

  Zamperoni, P ^a  

^a TECHNICAL UNIVERSITY OF BRAUNSCHWEIG   (Germany)

Author keywords

Image processing

Indexed keywords

DIGITAL SIGNAL PROCESSING; HEURISTIC METHODS; IMAGING TECHNIQUES; KNOWLEDGE ACQUISITION;

DIGITAL IMAGE PROCESSING; SYSTEMATIC KNOWLEDGE;

IMAGE PROCESSING;

EID: 0030165791     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/0167-8655(96)00044-X     Document Type: Article

References (20)

1. Aloimonos, Y. and A. Rosenfeld (1991). A response to "Ignorance, Myopia, and Naiveté in Computer Vision Systems". CVGIP: Image Understanding 53, 120-124.
2. Bowyer, K.W. and J.P. Jones (1991). Revolutions and experimental computer vision. CVGIP: Image Understanding 53, 127-128.
3. Cocquerez, J.P., S. Philipp and R. Zeboudj (1995) Comparaison de méthodes de segmentation d'images. In: Proc. 15th GRETSI Symposium, Juan-les-Pins, September 1995, 1355-1360.
4. Gonzalez, R.C. and R.E. Woods (1992). Digital Image Processing. Addison-Wesley, Reading, MA.
5. Haralick, R.M. (1994). Performance characterization in computer vision. CVGIP: Image Understanding 60, 245-249.
6. Haralick, R.M. and L.G. Shapiro (1992/1993). Computer and Robot Vision, Vols. I and II. Addison-Wesley, Reading, MA.
7. Huang, T.S. (1991). Computer vision needs more experiments and applications. CVGIP: Image Understanding 53, 125-126.
8. Jain, A.K. (1989). Fundamentals of Digital Image Processing. Prentice-Hall, Englewood Cliffs, NJ.
9. Jain, R.C. and T.O. Binford (1991). Ignorance, Myopia and Naiveté in Computer Vision Systems. CVGIP: Image Understanding 53, 112-117.
10. Kunt, M. (1991). Comments on "Dialogue", a series of articles generated by the paper entiteld "Ignorance, Myopia and Naiveté in Computer Vision". CVGIP: Image Understandig 54, 428-429.
11. LSI-Logic (1993). Digital Signal Processing Databook.
12. Merton, R.K. (1965). On the Shoulders of Giants. A Shandean Postscript. The Free Press, New York.
13. Nagy, G. (1983). Candide's practical principle of experimental pattern recognition. IEEE Trans. Pattern Anal. Mach. Intell. 5, 199-200.
14. Pasinetti, P.M. (1986). Il ponte dell'Accademia. Rizzoli, Milano.
15. Pavlidis, T. (1966). A critical survey of image analysis methods. In: Proc. 8th Internat. Conf. on Pattern Recognition, Paris, 502-511.
16. Pavlidis, T. (1992). Why progress in machine vision is so slow. Pattern Recognition Lett. 13, 221-225.
17. Rosenberg, H. (1978). Saul Steinberg. A. Knopf, New York.
18. Snyder, M.A. (1991). A commentary on the paper by Jain and Binford. CVGIP: Image Understandig 53, 118-119.
19. Sonka, M., V. Hlavac and R. Boyle (1993). Image Processing, Analysis and Machine Vision. Chapman & Hall, London.
20. Young, I.T., R.L. Peverini, P.W. Verbeek and P.J. van Otterloo (1981). A new implementation for the binary and Minkowski operators. Computer Graphics and Image Processing 17, 189-210.