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Content available remote Coupling iterate function systems and petri nets for image representation and generation
Lumini A.
Machine Graphics and Vision
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2000
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Vol. 9, No. 1/2
139-147
EN
Image generation has been proposed for many different tasks in the literature, from physics events visualization to the purpose of "art for art's sake". In this paper a new approach to computer image generation is presented: the method creates new images by randomizing the decompression process, starting from a compressed representation of an image by Iterate Function Systems. Petri Nets are employed both for modeling the decompression process and for inserting a randomization component in it. A second method proposed in this work directly translates the evolution of a Petri Net into a graphic output. Experimental results are given, showing different class of images generated by the two methods.
2
Content available remote Image representation and generation by ifs and Petri nets
Lumini A.
Image Processing & Communications
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2000
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Vol. 6, no 3-4
3-11
EN
Image generation has been proposed for many different tasks in the literature, from physics events visualization to large databases creation, from creative design to the purpose of "art for art's sake". In this paper a new approach to computer image generation is presented: the method creates new images by randomizing the decompression process, starting from a compressed representation of an image by Iterate Function Systems. Petri Nets are employed both for modeling the decompression process and for inserting a randomization component in it. A second method proposed in this work directly translates the evolution of a Petri Net into a graphic output. Experimental results are given, showing different class of images generated by the two methods.
3
Content available remote Inexact graph matching for fingerprint classification
Lumini A., Maio D., Maltoni D.
Machine Graphics and Vision
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1999
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Vol. 8, No. 2
231-248
EN
In this work we introduce a new structural approach to automatic fingerprint classification. The fingerprint directional image is partitioned into "homogeneous" connected regions according to the fingerprint topology. A relational graph is constructed in order to compactly summarize the fingerprint macro-structure resulting from the partitioning process. An inexact graph matching technique is adopted to compare this graph with a set of prototype graphs which have been a-priori derived starting from a well-known classification scheme.
4
Content available remote Image generation by Petri nets
Lumini A., Maio D.
Machine Graphics and Vision
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1998
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Vol. 7, No. 1/2
221-232
EN
This paper presents a new approach to computer image generation. The basic idea is to translate the evolution of a Petri net into a graphic output. In particular, we focus on three methods for image generation which exhibit a certain analogy whit fractals. Some experimental results are reported together whit a brief investigation on the relationships between generated images and thier corresponding Petri nets.
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