The suggested method is based on automatic thresholding and mathematical morphology. For validation purposes, an experimental study is carried out on 55 ...

Segmentation of Dendritic Cells from Microscopic. Images Using Mathematical Morphology. Marwa BRAIKI1, 2, Abdesslam BENZINOU1, Kamal NASREDDINE1, Salam ...

Aug 3, 2019 · The suggested method is based on automatic thresholding and mathematical morphology. For validation purposes, an experimental study is carried ...

Segmentation of dendritic cells from microscopic images using mathematical morphology · Marwa Braiki, A. Benzinou, +2 authors. N. Hymery · Published in ...

Segmentation of Dendritic Cells from Microscopic Images Using Mathematical Morphology. Authors. Abdesslam Benzinou · Marwa Braiki

We propose a segmentation method based on the combination of K-means clustering and Chan-Vese active contour model.

... Segmentation of Dendritic Cells from Microscopic Images Using Mathematical Morphology. 2nd INTERNATIONAL CONFERENCE on ADVANCED TECHNOLOGIES FOR SIGNAL & IMAGE ...

First, a combination of K-means clustering and mathematical morphology is used to detect dendritic cells. Second, a region-based Chan-Vese active contour model ...

The foremost aim of this paper is to propose two segmentation approaches of dendritic cells from microscopic images and to present a comparative evaluation of ...

May 1, 2020 · The multifocus image fusion is a kind of method in image processing to collecting the sharp information from multifocus image sequence.