Lifeng He
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View article: Challenges in Thirst Management for Intubated Patients in the ICU: A Qualitative Study of Healthcare Provider and Patient Perspectives
Challenges in Thirst Management for Intubated Patients in the ICU: A Qualitative Study of Healthcare Provider and Patient Perspectives Open
Thirst management for patients undergoing tracheal intubation in the ICU involves complex, multidimensional challenges. The findings offer clinically relevant insights that may enhance the ability of healthcare providers to recognize and a…
View article: Assessing Discomfort with IPREA-China in adult intensive care patients with severe acute pancreatitis
Assessing Discomfort with IPREA-China in adult intensive care patients with severe acute pancreatitis Open
Background: Severe acute pancreatitis (SAP) patients in intensive care units (ICU) frequently experience multidimensional discomfort, yet validated tools like the Chinese version of the Inconforts des Patients de REAnimation (IPREA-China) …
View article: A Review for the Euler Number Computing Problem
A Review for the Euler Number Computing Problem Open
In a binary image, the Euler number is a crucial topological feature that holds immense significance in image understanding and image analysis owing to its invariance under scaling, rotation, or any arbitrary rubber-sheet transformation of…
View article: Efficient Strategies for Computing Euler Number of a 3D Binary Image
Efficient Strategies for Computing Euler Number of a 3D Binary Image Open
As an important topological property for a 3D binary image, the Euler number can be computed by finding specific a voxel block with 2 × 2 × 2 voxels, named the voxel pattern, in the image. In this paper, we introduce three strategies for e…
View article: An Efficient Connected-Component Labeling Algorithm for 3-D Binary Images
An Efficient Connected-Component Labeling Algorithm for 3-D Binary Images Open
Conventional voxel-based algorithms for labeling connected components in 3D binary images use the same mask to process all object voxels. To reduce the number of times that neighboring voxels are checked when object voxels are processed, w…
View article: MSFF: A Multi-Scale Feature Fusion Network for Surface Defect Detection of Aluminum Profiles
MSFF: A Multi-Scale Feature Fusion Network for Surface Defect Detection of Aluminum Profiles Open
This paper presents an improved YOLOv3 network, named MSFF-YOLOv3, for precisely detecting variable surface defects of aluminum profiles in practice. First, we introduce a larger prediction scale to provide detailed information for small d…
View article: An improved algorithm using weighted guided coefficient and union self‐adaptive image enhancement for single image haze removal
An improved algorithm using weighted guided coefficient and union self‐adaptive image enhancement for single image haze removal Open
The visibility of outdoor images is usually significantly degraded by haze. Existing dehazing algorithms, such as dark channel prior (DCP) and colour attenuation prior (CAP), have made great progress and are highly effective. However, they…
View article: Research on multi-targets real-time ballistic recognition method based on movement multiple feature correlation
Research on multi-targets real-time ballistic recognition method based on movement multiple feature correlation Open
In the optical measurement of burst multi-targets such as the rocket, missile, bullet and so on, in order to solve the poor real-time reliability problem of the multi-targets ballistic recognition caused by the invalid ballistic recognitio…
View article: Feature Selection of Deep Learning Models for EEG-Based RSVP Target Detection
Feature Selection of Deep Learning Models for EEG-Based RSVP Target Detection Open
Most recent work used raw electroencephalograph (EEG) data to train deep learning (DL) models, with the assumption that DL models can learn discriminative features by itself. It is not yet clear what kind of RSVP specific features can be s…
View article: A de-noising method based on L0 gradient minimization and guided filter for ancient Chinese calligraphy works on steles
A de-noising method based on L0 gradient minimization and guided filter for ancient Chinese calligraphy works on steles Open
A clear stele image of ancient Chinese calligraphy pieces is very useful for studying ancient Chinese calligraphy. However, due to hundreds of or even thousands of years of natural or artificial damage on stele, images of ancient Chinese s…
View article: Let You See in Sand Dust Weather: A Method Based on Halo-Reduced Dark Channel Prior Dehazing for Sand-Dust Image Enhancement
Let You See in Sand Dust Weather: A Method Based on Halo-Reduced Dark Channel Prior Dehazing for Sand-Dust Image Enhancement Open
The images that are captured in sand storms often suffer from low contrast and serious color cast that are caused by sand dust, and these issues will have significant negative effects on the performance of an outdoor computer vision system…
View article: Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering
Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering Open
As fuzzy c-means clustering (FCM) algorithm is
\nsensitive to noise, local spatial information is often introduced
\nto an objective function to improve the robustness of the FCM
\nalgorithm for image segmentation. However, the introductio…
View article: An Algorithm for Calculating Objects’ Shape Features in Binary Images
An Algorithm for Calculating Objects’ Shape Features in Binary Images Open
The shape features of objects (connected components) in binary images are very important for image analysis, pattern (object) recognition, and computer vision. Conventional algorithms for calculating the shape features of objects in binary…
View article: The connected-component labeling problem: A review of state-of-the-art algorithms
The connected-component labeling problem: A review of state-of-the-art algorithms Open
This article addresses the connected-component labeling problem which consists in assigning a unique label to all pixels of each connected component (i.e., each object) in a binary image. Connected-component labeling is indispensable for d…
View article: Bit-Quad-Based Euler Number Computing
Bit-Quad-Based Euler Number Computing Open
The Euler number of a binary image is an important topological property for pattern recognition, image analysis, and computer vision.A famous method for computing the Euler number of a binary image is by counting certain patterns of bit-qu…
View article: Many Is Better Than One: An Integration of Multiple Simple Strategies for Accurate Lung Segmentation in CT Images
Many Is Better Than One: An Integration of Multiple Simple Strategies for Accurate Lung Segmentation in CT Images Open
Accurate lung segmentation is an essential step in developing a computer-aided lung disease diagnosis system. However, because of the high variability of computerized tomography (CT) images, it remains a difficult task to accurately segmen…
View article: A New Connected-Component Labeling Algorithm
A New Connected-Component Labeling Algorithm Open
This paper proposes a new first-scan method for two-scan labeling algorithms. In the first scan, our proposed method first scans image lines three by three with a leaving line, and for foreground pixels among each three lines, assigns them…
View article: A Further Improvement on Bit-Quad-Based Euler Number Computing Algorithm
A Further Improvement on Bit-Quad-Based Euler Number Computing Algorithm Open
The Euler number is an important topological property in a binary image, and it can be computed by counting certain bit-quads in the binary image. This paper proposes a further improved bit-quad-based algorithm for computing the Euler numb…