Autors: Christoff, N. V., Bardarov, N., Manolova, A. H., Tonchev, K.
Title: Feature Extraction and Automatic Detection of Wooden Vessels from Raster Images
Keywords: geometric modeling; morphological analysis; raster image; vessel detection

Abstract: The identification of trees is becoming increasingly important for the protection of plant species and the regulation of timber trade worldwide. Anatomical features such as vessels, fibers, parenchyma and rays play a significant role in the identification of individual trees. The unique cell structure of each of the hardwood species varies widely among the intraspecific species and describes their characteristic features. In this article we propose a method for detection of geometric features in tree samples, such as vessels, through morphological analysis and segmentation.



    2020 XXIX International Scientific Conference Electronics (ET), 2020, Bulgaria, IEEE, DOI 10.1109/ET50336.2020.9238178

    Copyright IEEE

    Цитирания (Citation/s):
    1. Hristov, H. I., & Dimitrov, K. L. (2022, June). Investigation of the influence of the distance and the angle of observation in radiometric measurements in the infrared spectrum. In 2022 57th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST) (pp. 1-4). IEEE., DOI: 10.1109/ICEST55168.2022.9828683 - 2022 - в издания, индексирани в Scopus или Web of Science

    Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus