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.

References

    Issue

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

    Copyright IEEE

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