Method of Adhesion Cell Segmentation Based on Mathematical Morphology in the Preparation of Micro Nanowood Powder

Abstract

As a new type of environmental protection material, micro nanowood powder has a great relationship with mesh number and wood species, and the premise of wood property recognition is accurate extraction of cell parameters. Adhesion often exists in the cell images of coniferous wood, and the right segmentation of adhesion cells constitutes the prerequisite to ensure the accuracy of the identification of species. In this paper, we have put forward a method based on mathematical morphology for the segmentation of adherent cells, and we have compared the method with that of parallel cells and series cells respectively. As shown by the experimental results, the method proposed in this study proves to be effective for two ordinary adherent cells thanks to its optimal stability and robustness.