whisper
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A.Nedzved, S.Ablameyko, I.Pitas’
Morphological segmentation of histology cell images
Abstract
Two algorithms for segmentation of cell images
are proposed. They have a unique part that contains
computation of morphological gradient to extract object
borders and thinning the obtained borders to get a line
of one-pixel thickness. For this task, we propose the fast
gray-scale thinning algorithm that is based on the idea
of the analysis of binary image layers. Then, the obtained
one-pixel lines are used to extract cells and compute
their characteristics. The algorithms based on
morphological and split/merge segmentation are
developed and used for this task.
Pages:5
[thanks-thanks]pdf,75.1KB,http://www.mediafire.com/view/?a5167v098j5h77n[/thanks-thanks]
Morphological segmentation of histology cell images
Abstract
Two algorithms for segmentation of cell images
are proposed. They have a unique part that contains
computation of morphological gradient to extract object
borders and thinning the obtained borders to get a line
of one-pixel thickness. For this task, we propose the fast
gray-scale thinning algorithm that is based on the idea
of the analysis of binary image layers. Then, the obtained
one-pixel lines are used to extract cells and compute
their characteristics. The algorithms based on
morphological and split/merge segmentation are
developed and used for this task.
Pages:5
[thanks-thanks]pdf,75.1KB,http://www.mediafire.com/view/?a5167v098j5h77n[/thanks-thanks]
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