Virtual medical plant modeling based on L-system.

D Ding,Q Bo,H Yu,L Bo,K Fang,S Jing

doi:10.4314/ahs.v14i4.37

Abstract

Searching the drug molecules from the medicinal plants become more and more popular given that herbal components have been widely considered to be safe. In medical virtual plant studies, development rules are difficult to be extracted, the construction of plant organs is highly dependent on equipment and the process is complicated. To establish three-dimensional structural virtual plant growth model. The quasi-binary tree structure and its properties were obtained through the research of theory on binary tree, then the relationship between quasi-binary tree structure and plant three-dimensional branching structure model was analyzed, and the three-dimensional morphology of plants was described. A three-dimensional plant branch structure pattern extracting algorithm based on quasi-binary tree structure. By using 3-D L-system method, the extracted rules were systematized, and standardized. Further more, we built a comprehensive L-model system. With the aid of graphics and PlantVR, we implemented the plant shape and 3-D structure's reconstruction. Three-dimensional structure virtual plant growth model based on time-controlled L-system has been successfully established.

Highlights

For the sciences of drug R&D processes, the incentives to undertake R&D activity increase, but the productivity of drug R&D declines[1,2]
Since L-system can capture the topology of plants and convert it into computer discernible languages, specific symbols can be used to denote the organs of plants, axiom ( ω ) to describe initial state of plants, and productions (P ) to describe the variation patterns of plants and organs, thereby establishing correlated development rules
Some defects exist in L-system and make its describing process non-intuitive and contain many uncertain factors, for example: L-system uses productions (i.e.: development rules) to establish correlation model, and its description of development rules generally base on growth processes

Summary

Introduction

For the sciences of drug R&D processes, the incentives to undertake R&D activity increase, but the productivity of drug R&D declines[1,2]. Understanding of the development of medicinal plants is very important for know what potential drug molecules were contained in medicinal plants. Searching the drug molecules from the medicinal plants become more and more popular given that herbal components have been widely considered to be safe. In medical virtual plant studies, development rules are difficult to be extracted, the construction of plant organs is highly dependent on equipment and the process is complicated. Aim: To establish three-dimensional structural virtual plant growth model. Results: A three-dimensional plant branch structure pattern extracting algorithm based on quasi-binary tree structure. Conclusion: Three-dimensional structure virtual plant growth model based on time- controlled L-system has been successfully established.

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Conclusion