In this letter, we present a novel watershed-based method for segmentation of cervical and
breast cell images. We formulate the segmentation of clustered nuclei as an optimization …

In a fully automatic cell extraction process, one of the main issues to overcome is the problem
related to extracting overlapped nuclei since such nuclei will often affect the quantitative …

In this paper, a visual attention model is incorporated for efficient saliency detection, and the
salient regions are employed as object seeds for our automatic object segmentation system. …

This paper presents a novel method for detecting salient regions in both images and videos
based on a discriminant center-surround hypothesis that the salient region stands out from …

From a streaming video, online action detection aims to identify actions in the present. For this
task, previous methods use recurrent networks to model the temporal sequence of current …

In this study, the operating characteristics of a gas turbine combustor are predicted using
real-time data from industrial gas turbines. The turbine exhaust temperature (TET) and major …

A continuous flow of hot electrons that are not at thermal equilibrium with the surrounding
metal atoms is generated by the absorption of photons. Here we show that hot electron flow …

Background subtraction is a key prerequisite for a wide range of image processing applications
due to its pervasiveness in various contexts. In particular, video surveillance highly …

High-energy-density Li–S full cells require thick host electrodes, which are particularly
challenged by diffusion-limited Li-ion polarization. Our study introduces a heterogeneous Janus …

State-of-the-art super-resolution (SR) methods commonly assume that the downscaling kernel
(the point spread function of the camera) is a Gaussian kernel. Therefore, the methods are …