Realistic image synthesis of plant structures for genetic analysis
UNSPECIFIED. (2001) Realistic image synthesis of plant structures for genetic analysis. IMAGE AND VISION COMPUTING, 19 (8). pp. 517-522. ISSN 0262-8856Full text not available from this repository.
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|
|Official Date:||1 June 2001|
|Number of Pages:||6|
|Page Range:||pp. 517-522|
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