Abstract
The Object Oriented paradigm is considered a natural and effective approach for Image Processing and Analysis purposes. Nevertheless, despite its intuitive convenience, the use of object orientation within this complex realm has not undergone to a rapid growth as happened in other fields, where such paradigm has been introduced. The most part of reported applications deals with system architecture problems or is tailored to specific case-studies. In this paper, with the aim of developing a more comprehensive framework, we outline an Object Oriented model for Image Processing And Analysis, and we discuss how to address the critical issue of representing shape information. A preliminary prototype of the model is presented, and results of experimental work summarized.
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References
L. Mohan, R.L. Kashyap: An Object — Oriented Knowledge Representation for Spatial Information. IEEE Trans. on Soft. Eng., 14, n.5, 1988, pp. 675–681.
J. Piper, D. Rutovitz: An Investigation of Object-Oriented Programming as the Basis for an Image Processing and Analysis System. In: Proc. 9th ICPR, Roma, 1988, pp.1015–1019.
L. Uhr: Forms Structure Form at Ever “Higher” and “Lower” Levels. In: Visual Form, Plenum Press 1992, pp. 565–581
G. Nagy: The Dimensions of Shape and Form. In: Visual Form, Plenum Press 1992, pp. 409–420
M.A. Arbib: Schemas and Neural Networks for Sixth Generation Computing. Journ. of Paral. and Distr. Comp., vol. 6,n.2, 1989, pp185–216
L. Shapiro: View-Class Representation and Matching of 3-D Objects. In: Visual Form, Plenum Press 1992, pp. 479–494
L. Shapiro: Data Structures for picture processing: A Survey. CGIP 11, 1979, pp. 162–184
H. Samet, R.E. Webber: Hierarchical Data and Algorithms for Computer Graphics. Part I: Fundamentals. IEEE Comp. Graph. and Appl., May 1988, pp. 48–68.
H. Samet, R.E. Webber: Hierarchical Data and Algorithms for Computer Graphics. Part II: Applications. IEEE Comp. Graph. and Appl., July 1988, pp. 59–75.
J. Piper, D. Rutovitz: Data Structures for Image Processing in a C Language and Unix Environment. Pattern Recognition Letters, vol. 3, 1985, pp. 119–129.
.V. Jagadish, L. O' Gorman: An Object Model for Image Recognition. IEEE Computer, vol., n., 1989, pp. 33–41.
R. Taniguchi, M. Amamiya: Knowledge Based Image Processing System: IPSSENS-II. In: Proc. 3rd. IPA Warwick, UK, 1989, pp.462–466
N. Yoshida, K. Hino: An Object Oriented Framework of Pattern Recognition Systems. In: Proc. OOPSLA'88, pp. 259–266.
G. Boccignone, A. Chianese, M. De Santo, A. Picariello: Building an Object-Oriented Environment for Document Processing. In: Proc. ICDAR'93, Tokio, 1993, pp.
P. Gemmar, G. Hofele: An Object Oriented Approach for an Iconic Kernel System (IKS). In: Proc. 10th Int.Conf. Patt. Rec. Atlantic City, 1990, pp 85–90.
H. Sato et al.: The VIEW-Station Environment: Tools and Architecture for a Platform Independent Image Processing Workstation. In: Proc. 10 th. Int.Conf. Patt. Rec, Atlantic City, 1990, pp 576–583.
L. G. Shapiro, R. M. Haralick: A General Spatial Data Structure. In: Proc. IEEE Conf. Pattern Recog. Image Process., Chicago, 1978, pp. 238–289.
P. Coad, E. Yourdon: Object-Oriented Analysis. Yourdon Press, Prentice Hall Inc, New Jersey, 1991.
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© 1994 Springer-Verlag Berlin Heidelberg
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Boccignone, G., Chianese, A., De Santo, M., Picariello, A. (1994). Object-oriented representation of shape information. In: Bertino, E., Urban, S. (eds) Object-Oriented Methodologies and Systems. ISOOMS 1994. Lecture Notes in Computer Science, vol 858. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0014030
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DOI: https://doi.org/10.1007/BFb0014030
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