76 citations · 108 across the 16 of their papers we have counts for
4 papers · 2 filters
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…
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…
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…
An Enhancement Neighborhood connected Segmentation for 2D-Cellular Image
Mohammed M. Abdelsamea
A good segmentation result depends on a set of "correct" choice for the seeds. When the input images are noisy, the seeds may fall on atypical pixels that are not representative of…