Basel Solaiman

Adaptive strategy for superpixel-based region-growing image segmentation

This work presents a region-growing image segmentation approach based on superpixel decomposition. From an initial contour-constrained over-segmentation of the input image, the image segmentation...

An iterative possibilistic image segmentation system: Application to breast cancer detection

On the use of holonic agents in the design of information fusion systems

Rule-based diagnostic system fusion

Medical diagnosis by possibilistic classification reasoning

A comparative study of CNN and FCN performance for short-axis left ventricle segmentation in cardiac cine MR sequences

A comparative study of CNN and U-Net performance for automatic segmentation of medical images: application to cardiac MRI

A Method of Pixel Unmixing by Classes based on the Possibilistic Similarity

Possibilistic Similarity based Image Classification

Iterative Possibility Distributions Refining in Pixel-based Images Classification Framework

Logo Detection Based on FCM Clustering Algorithm and Texture Features

Multi-resolution and multi-spectral analysis for satellite images classification with fuzzy spatial relationships

An evidence based approach for multipe similarity measures combining for ontology mapping

Image fusion models and techniques at pixel level

Towards a new ontology matching approach based on multi-criteria analysis methods

Interpretation of hyperspectral imagery based on hybrid dimensionality reduction methods

Imperfect Pattern Recognition Using the Fuzzy Measure Theory

Microcalcifications detection from mammographie images based on region growing and variational energy convergence