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https://open.uns.ac.rs/handle/123456789/8250
Title: | Coverage segmentation of thin structures by linear unmixing and local centre of gravity attraction | Authors: | Lidayova K. Lindblad J. Sladoje N. Frimmel H. |
Issue Date: | 1-Jan-2013 | Journal: | International Symposium on Image and Signal Processing and Analysis, ISPA | Abstract: | We present a coverage segmentation method for extracting thin structures in two-dimensional images. These thin structures can be, for example, retinal vessels, or microtubules in cytoskeleton, which are often 1-2 pixels thick. There exist several methods for coverage segmentation, but when it comes to thin and long structures, the segmentation is often unreliable. We propose a method that does not shrink the structures inappropriately and creates a trustworthy segmentation. In addition, as a by-product a high-resolution crisp reconstruction is provided. The method needs a reliable crisp segmentation as an input and uses information from linear unmixing and the crisp segmentation to create a high-resolution crisp reconstruction of the object. After a procedure where holes and protrusions are removed, the high-resolution crisp image is optionally downsampled back to its original size, creating a coverage segmentation that preserves thin structures. © 2013 University of Trieste and University of Zagreb. | URI: | https://open.uns.ac.rs/handle/123456789/8250 | ISBN: | 9789531841948 | ISSN: | 18455921 |
Appears in Collections: | Naučne i umetničke publikacije |
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