This article addresses the connected-component labeling problem which consists in
assigning a unique label to all pixels of each connected component (ie, each object) in a …

Accurate segmentation of kidneys and kidney tumors is an essential step for radiomic
analysis as well as develo** advanced surgical planning techniques. In clinical analysis …

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 …

In this study, we propose a two-stage workflow used for the segmentation and scoring of
lung diseases. The workflow inherits quantification, qualification, and visual assessment of …

Fire is a significant natural and cultural phenomenon, affecting spatial scales from local to
global, and is represented in most palaeoenvironmental records by fossil charcoal. Analysis …

In processing raster digital elevation models (DEMs) it is often necessary to assign drainage
directions over flats—that is, over regions with no local elevation gradient. This paper …

As the COVID-19 pandemic rampages across the world, the demands of video conferencing
surge. To this end, real-time portrait segmentation becomes a popular feature to replace …

Chest X-ray images (CXRs) are the most common radiological examination tool for
screening and diagnosis of cardiac and pulmonary diseases. The automatic segmentation of …

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 …

This paper presents a self-cueing real-time frame-work for attention prioritization in AI-
enabled visual perception systems that minimizes a notion of state uncertainty. By attention …