Geometric features extraction and classification of tree species in Bulgaria in order to protect the environment, part of NATURA 2000

Bulgarian Science Fund

Geometric features extraction and classification of tree species in Bulgaria in order to protect the environment, part of NATURA 2000


Competition for financial support for projects of junior basic researchers and postdocs – 2020

Main research/thematic area, of the project:

Technical Sciences

Coordinator of the research team:

Assist. Prof. Nicole Vesselinova Christoff, Ph. D

Main Goal

The aim of the project is to develop and test an approach for segmentation of characteristic features, such as vessels, etc., as well as effective methods and algorithms for capturing microscopic images containing typical for Bulgaria tree species such as maple, Fraxinus (ash), etc.

The main tasks are related to the construction of new theoretical foundations, scientific models, abstractions, as well as rethinking or updating methods and algorithms in order to find geometric characteristics and classification of tree species in Bulgaria. The focus will be on:

• Development of a methodology for taking microscopic images from longitudinal / cross sections of wood samples, based on optical information;

• Creating a theoretical model describing the anatomical features common and inherent for the tree species;

• Development of advanced algorithms for geometric modeling of anatomical characteristics, taking into account the changes of individual tree species and habitats;

• Development of effective approaches and methods for detecting anatomical features in order to identify and predict the type of wood.


The outcome of this project is expected to have important impact in the field of environmental protection of the Republic of Bulgaria, including habitats included in NATURA 2000. In addition, the results of the research will contribute to several other areas of research, including computer vision, machine learning and wood science.

Posts related to this project

TeliLab members related to this project

Nicole Christoff

Nicole Christoff

Affiliate Researcher

Publications related to this project

Automatic Classification of Wood Species Using Deep Learning

Nicole Christoff, Nikolai Bardarov, Dessislava Nikolova
2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)

Use of optical approaches to improve microscopic imaging of wood samples

Tsvetan Valkovski, Nicole Christoff
AIP Conference Proceedings 2570, 040013 (2022)

Geometric and Topological Bases of a New Classification of Wood Vascular Tissues, Part 2: Classification of Vessels According to Their Grouping

Nikolai Bardarov, Nicole Christoff, Vladislav Todorov
Sustainability (Switzerland), 2022, 14(4), 2031

Vessels Detection Based on Neural Network with Application in Wood Recognition

Pavel Todorov, Nicole Christoff
2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)

Research Fields

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