Image segmentation is a wide research topic; a huge amount of research has been
performed in this context. Image segmentation is a crucial procedure for most object …

Detailed knowledge about gas-liquid multiphase flows is important to optimize industrial
systems. Imaging with image processing is the most commonly used measurement …

Recognition of overlapping objects is required in many applications in the field of computer
vision. Examples include cell segmentation, bubble detection and bloodstain pattern …

Accurate measurements of the bubble size distribution (BSD) are crucial for investigating
gas–liquid mass transfer mechanisms and describing the characteristics of chemical …

The accurate identification of overlapping Agaricus bisporus in a factory environment is one
of the challenges faced by automated picking. In order to better segment the complex …

Many objects in real world have convex shapes. It is a difficult task to have representations
for convex shapes with good and fast numerical solutions. This paper proposes a method to …

While the occlusion analysis of nanoparticles (NPs) has been important in detecting NPs in
images, most existing methods fail to accurately segment contours, and additional time …

Artificial intelligence and nanotechnology are two areas of science that have changed the
world and made life easier during this last decade. Both fields are undergoing significant …

This paper introduces a novel method for segmentation of clustered partially overlapping
convex objects in silhouette images. The proposed method involves three main steps: pre …

Segmentation of overlapping convex objects has gained a lot of attention in numerous
biomedical and industrial applications. A partial overlap between two or more convex shape …