Abstract The World Health Organization (WHO) has declared Coronavirus Disease 2019
(COVID-19) as one of the highly contagious diseases and considered this epidemic as a …

Superpixel become increasingly popular in image segmentation field as it greatly helps
image segmentation techniques to segment the region of interest accurately in noisy …

The present study is developed a new approach using a computer diagnostic method to
diagnosing diabetic diseases with the use of fluorescein images. In doing so, this study …

This article presents a new image segmentation approach based on the principle of
clustering optimized by the meta-heuristic algorithm namely: SCA (Algorithm Sinus Cosine) …

In the present study, we aim to propose an effective and robust ensemble-learning approach
with stacked generalization for image segmentation. Initially, the input images are processed …

Fluorescent penetrant inspection (FPI) is a well-assessed non-destructive test method used
in manufacturing for detecting cracks and other flaws of the product under test. This is a …

In this article, we will introduce a hybrid method based on the combination of two image
segmentation techniques. The first method adopted is the k-means algorithm which is an …

Image segmentation is a fundamental and important step in many computer vision
applications. One of the most widely used image segmentation techniques is clustering. It is …

Image segmentation is the most important operation in the image processing system
because it is located at the articulation between image processing and analysis. The …

Feature selection is an active research area in data mining and machine learning, especially
with the increase in the amount of numerical data. FS is a search strategy to find the best …