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 …

This paper addresses real-time moving object detection with high accuracy in high-
resolution video frames. A previously developed framework for moving object detection is …

In this paper, we present novel strategies for optimizing the performance of many binary
image processing algorithms. These strategies are collected in an open-source framework …

This article is about Connected Components Labeling (CCL) algorithms developed for GPU
accelerators. The task itself is employed in many modern image-processing pipelines and …

Structure preserving image smoothing is fundamental to numerous multimedia, computer
vision, and graphics tasks. This paper develops a deep network in the light of flexibility in …

Despite the success of noncontact atomic force microscopy (AFM) in providing atomic-scale
insight into the structure and properties of matter on surfaces, the wider applicability of the …

We propose an accurate and efficient scene text detection framework, termed FAST (ie,
faster arbitrarily-shaped text detector). Different from recent advanced text detectors that …

Given the overwhelming impact of machine learning on the last decade, several libraries
and frameworks have been developed in recent years to simplify the design and training of …

The tool VoxLogicA merges the state-of-the-art library of computational imaging algorithms
ITK with the combination of declarative specification and optimised execution provided by …

Video text spotting (VTS) is the task that requires simultaneously detecting, tracking and
recognizing text in the video. Existing video text spotting methods typically develop …