UNSPECIFIED (2001) Realistic image synthesis of plant structures for genetic analysis. IMAGE AND VISION COMPUTING, 19 (8). pp. 517-522. ISSN 0262-8856

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Abstract

The objective of this study was to develop a systematic method to restore images of plants using a small number of parameters in order to facilitate investigation of genetic behaviour of branching patterns by computer models. Based on biological data, a generic methodology for image synthesis of plant structures was proposed. The corresponding algorithms for feature extracting and tuning were designed. Images of plant structures were synthesised with a higher accuracy by a model that was constructed using parametric L-systems. The algorithms were validated by comparing the synthetic images with the real plants. The approach makes it possible to assess the virtual architectures of plants by computer models, instead of real experiments, and to investigate the relationship between plant morphology and their genetic behaviours. This may aid the understanding of complex branching patterns that result from a plant's genetic behaviour. (C) 2001 Elsevier Science B.V. All rights reserved.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering Q Science > QC Physics
Journal or Publication Title:	IMAGE AND VISION COMPUTING
Publisher:	ELSEVIER SCIENCE BV
ISSN:	0262-8856
Date:	1 June 2001
Volume:	19
Number:	8
Number of Pages:	6
Page Range:	pp. 517-522
Publication Status:	Published
URI:	http://wrap.warwick.ac.uk/id/eprint/11995

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