Improved plant parenchyma extraction technology using artificial intelligence algorithms
نویسندگان
چکیده
The previous studies have described the extraction of plant parenchyma by computer image processing technology, and purpose this paper is to verify effectiveness algorithm., implements algorithm using Matlab language, designs several groups experiments. experimental results show that: when denoising, 9*9 as a template perform median filtering on has better effect, block binarization facilitates axial parenchyma; mathematical morphology, 3*3 Axial vessel morphology can be successfully extracted from cross-sectional images broad-leaved wood after dilation cross-shaped structuring elements erosion disc-shaped with radii ranging 1 10 When calculating area threshold closed area, determined 8 domains mark histogram, so that separated catheter. At present, method been experimented in different tree species, all which achieved good results. This also fully proves artificial intelligence algorithm. implementation lays foundation for future research intelligent recognition based thin-walled tissue morphology; it provides shortcut measure content species; prelude development an image-based system tissue.
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ژورنال
عنوان ژورنال: ??????????? ?????????, ??????? ? ??????????
سال: 2022
ISSN: ['2782-2826', '2782-2818']
DOI: https://doi.org/10.47813/2782-2818-2022-2-4-0233-0263