Geometric and Topological Bases of a New Classification of Wood Vascular Tissues Part 1: Shape and Arrangement Classifications of Vessels
Autor: | Vladislav Todorov, Nikolai Bardarov, Nicole Christoff |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
0106 biological sciences
vessels Computer science 020209 energy Geography Planning and Development TJ807-830 02 engineering and technology Variation (game tree) Management Monitoring Policy and Law Topology TD194-195 01 natural sciences Renewable energy sources Development (topology) grouping computer aided wood structure 0202 electrical engineering electronic engineering information engineering GE1-350 diameter density Environmental effects of industries and plants Renewable Energy Sustainability and the Environment wood science and technology Environmental sciences classification Identification (biology) Tree species 010606 plant biology & botany |
Zdroj: | Sustainability Volume 13 Issue 14 Sustainability, Vol 13, Iss 7545, p 7545 (2021) |
ISSN: | 2071-1050 |
DOI: | 10.3390/su13147545 |
Popis: | The need to identify wood by its anatomical features requires a detailed analysis of all the elements that make it up. This is a significant problem of structural wood science, the most general and complete solution of which is yet to be sought. In recent years, increasing attention has been paid to the use of computer vision methods to automate processes such as the detection, identification, and classification of different tissues and different tree species. The more successful use of these methods in wood anatomy requires a more precise and comprehensive definition of the anatomical elements, according to their geometric and topological characteristics. In this article, we conduct a detailed analysis of the limits of variation of the location and grouping of vessels in the observed microscopic samples. The present development offers criteria and quantitative indicators for defining the terms shape, location, and group of wood tissues. It is proposed to differentiate the quantitative indicators of the vessels depending on their geometric and topological characteristics. Thus, with the help of computer vision technics, it will be possible to establish topological characteristics of wood vessels, the extraction of which would be used to develop an algorithm for the automatic classification of tree species. |
Databáze: | OpenAIRE |
Externí odkaz: |