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Mohammed M. Abdelsamea

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author1
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
ORCID 0000-0002-2728-1127

identity via Semantic Scholar / OpenAlex

most citedAn Automatic Seeded Region Growing for 2D Biomedical Image Segmentation

18 citations · 24 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2015★ 5 cited

An Effective Image Feature Classiffication using an improved SOM

M. Abdelsamea, Marghny H. Mohamed, Mohamed Bamatraf

Image feature classification is a challenging problem in many computer vision applications, specifically, in the fields of remote sensing, image analysis and pattern recognition. I…

cs.CV2014★ 18 cited

An Automatic Seeded Region Growing for 2D Biomedical Image Segmentation

Mohammed M. Abdelsamea

In this paper, an automatic seeded region growing algorithm is proposed for cellular image segmentation. First, the regions of interest (ROIs) extracted from the preprocessed image…

cs.CV2014

Unsupervised Parallel Extraction based Texture for Efficient Image Representation

Mohammed M. Abdelsamea

SOM is a type of unsupervised learning where the goal is to discover some underlying structure of the data. In this paper, a new extraction method based on the main idea of Concurr…

cs.CV2014★ 1 cited

Self Organization Map based Texture Feature Extraction for Efficient Medical Image Categorization

Marghny H. Mohamed, Mohammed M. Abdelsamea

Texture is one of the most important properties of visual surface that helps in discriminating one object from another or an object from background. The self-organizing map (SOM) i…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.