Graphics processing units (GPUs) are used today in a wide range of applications, mainly
because they can dramatically accelerate parallel computing, are affordable and energy …

Segmentation of anatomical structures, from modalities like computed tomography (CT),
magnetic resonance imaging (MRI) and ultrasound, is a key enabling technology for medical …

Watershed is a widely used image segmentation algorithm. Most researchers understand
just an idea of this method: a grayscale image is considered as topographic relief, which is …

Connected Components Labeling is an essential step of many Image Processing and
Computer Vision tasks. Since the first proposal of a labeling algorithm, which dates back to …

Connected Components Labeling (CCL) is a crucial step of several image processing and
computer vision pipelines. Many efficient sequential strategies exist, among which one of the …

Connected-component labelling remains an important and widely-used technique for
processing and analysing images and other forms of data in various application areas …

Analysis of large pathology image datasets offers significant opportunities for the
investigation of disease morphology, but the resource requirements of analysis pipelines …

Watershed identification is one of the main areas of study in the field of topography. It is
critical in countless applications including sustainability and flood risk evaluation. Beyond its …

We address the problem of efficient execution of a computation pattern, referred to here as
the irregular wavefront propagation pattern (IWPP), on hybrid systems with multiple CPUs …

This paper presents an approach for road detection based on image segmentation. This
segmentation is resulted from merging 2D and 3D image processing data from a stereo …