Many image segmentation techniques are available in the literature. Some of these
techniques use only the gray level histogram, some use spatial details while others use …

Image segmentation is the most critical functions in image analysis and processing.
Fundamentally segmentation results affect all the subsequent processes of image analysis …

Image segmentation is a prerequisite for image processing. There are many methods for
image segmentation, and as a result, a great number of methods for evaluating …

The most prevalent cancer amongst women is woman breast cancer. Ultrasound imaging is
a widely employed method for identifying and diagnosing breast abnormalities. Computer …

This paper discusses research in the area of texture image classification. More specifically,
the combination of texture and colour features is researched. The principle objective is to …

Chronic wounds are a latent health problem worldwide, due to high incidence of diseases
such as diabetes and Hansen. Typically, wound evolution is tracked by medical staff through …

In this paper, a stereo matching algorithm based on image segments is presented. We
propose the hybrid segmentation algorithm that is based on a combination of the Belief …

This study presents TOM500, a comprehensive multi-organ annotated orbital magnetic
resonance imaging (MRI) dataset. It includes clinical data, T2-weighted MRI scans, and …

In this paper, the comparison between deep learning methods and feature extraction
algorithms is presented. The principle of Grey-Level Co-occurrence Matrix (GLCM) and its …

segmentation is a low level operation concerned with partitioning of images by determining
similarity or discontinuity, or equivalently, by finding edges or boundaries'. image …