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Segmentation and Characterization of Macerated Fibers and Vessels Using Deep Learning. (arXiv:2401.16937v1 [cs.CV])
cs.CV updates on arXiv.org arxiv.org
Purpose: Wood comprises different cell types, such as fibers and vessels,
defining its properties. Studying their shape, size, and arrangement in
microscopic images is crucial for understanding wood samples. Typically, this
involves macerating (soaking) samples in a solution to separate cells, then
spreading them on slides for imaging with a microscope that covers a wide area,
capturing thousands of cells. However, these cells often cluster and overlap in
images, making the segmentation difficult and time-consuming using standard
image-processing methods. Results: …
arxiv cells cs.cv deep learning images samples segmentation slides solution studying them types understanding