Sammanfattning

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 down-sampled back to its original size, creating a coverage segmentation that preserves thin structures.

Publicerad i

Image And Signal Processing And Analysis
2013, sidor: 83-+
Titel: 2013 8th International Symposium on Image and Signal Processing and Analysis
ISBN: 978-953-184-187-0, eISBN: 978-953-184-194-8
Utgivare: IEEE

Konferens

8th International Symposium on Image and Signal Processing and Analysis (ISPA), SEP 04-06, 2013, Trieste, ITALY

SLU författare

• Lindblad, Joakim

  • Centre for Image Analysis, Sveriges lantbruksuniversitet
    

UKÄ forskningsämne

Datorseende och robotik (autonoma system)


Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/117951