The use of machine learning (ML) has been increasing rapidly in the medical imaging field,
including computer-aided diagnosis (CAD), radiomics, and medical image analysis …

Summary 16S rRNA-targeted oligonucleotide probes for eubacteria (EUB338), ammonium-
oxidizing bacteria (Nsm156) and nitrite-oxidizing bacteria (Nb1000) were used for the rapid …

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 …

The recent activity in the area of autonomous vehicle navigation has initiated a series of
reactions that stirred the automobile industry, pushing for the fast commercialization of this …

In this paper, we propose a method that is able to detect fires by analyzing videos acquired
by surveillance cameras. Two main novelties have been introduced. First, complementary …

Design for Embedded Image Processing on FPGAs Bridge the gap between software and
hardware with this foundational design reference Field-programmable gate arrays (FPGAs) …

Labeling of connected components in a binary image is one of the most fundamental
operations in pattern recognition: labeling is required whenever a computer needs 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 an onboard monocular vision system for autonomous takeoff,
hovering and landing of a Micro Aerial Vehicle (MAV). Since pose information with metric …

In this paper, we define a new paradigm for eight-connection labeling, which employes a
general approach to improve neighborhood exploration and minimizes the number of …