Results 31 to 40 of about 781,103 (334)
Medical image enhancement using threshold decomposition driven adaptive morphological filter [PDF]
, 2008 One of the most common degradations in medical images is their poor contrast quality. This suggests the use of contrast enhancement methods as an attempt to modify the intensity distribution of the image.
Mahmoud, Tarek A. +4 more
core +1 more source
Code for Paper: Decomposition Approach to Multi-Agent Systems with Bernoulli Packet Loss
, 2022 This is the code to produce the figures from the paper "Decomposition Approach to Multi-Agent Systems with Bernoulli Packet Loss" as submitted for the initial ...
Saadabadi, Hamideh +4 more
core +1 more source
Image Fusion Method Based on Structure-Based Saliency Map and FDST-PCNN Framework
IEEE Access, 2019 Image fusion has become an active and promising research topic in image processing. It provides an effective way to combine several source images to form a composite image with more detailed information than any one of the source images.
Jiang Qian +4 more
doaj +1 more source
IEEE Access, 2019 Atrial fibrillation, the most common sustained arrhythmia, is still a big challenge for researchers in the medical field. Many studies attempt to realize intelligent classification of AF based on deep learning methods.
Xincheng Cao, Bin Yao, Binqiang Chen
semanticscholar +1 more source
Large scale production of multi-walled carbon nanotubes by fluidized bed catalytic chemical vapor deposition : a parametric study [PDF]
, 2007 A parametric study investigating the impact of temperature, run duration, total pressure, and composition of the gaseous phase on the catalytic growth of multi-walled carbon nanotubes (MWNT) has been performed. MWNT have been produced very selectively on
Bernard, Daniel +7 more
core +1 more source
Applied Sciences, 2023 Spatial–temporal prediction is an important part of a great number of applications, such as urban traffic control, urban traffic management, and urban traffic planning. However, real-world spatial–temporal data often have complex patterns, so it is still
Junhao Ming, Dongmei Zhang, Wei Han
doaj +1 more source
Multi Sensor Image Fusion using Empirical Mode Decomposition [PDF]
, 2013 Image fusion is a process of combining relevant information from two or more images from different sensors based on certain algorithm. Many algorithms have been proposed for pixel level image fusion.
Naidu, VPS, Shakthipriya, VS
core
FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Infrared and visible image fusion algorithm based on spatial domain and image features.
PLoS ONE, 2022 Multi-scale image decomposition is crucial for image fusion, extracting prominent feature textures from infrared and visible light images to obtain clear fused images with more textures.
Liangjun Zhao +3 more
doaj +1 more source
The multi-scale decomposition image.
, 2018 The multi-scale decomposition image.
Shenghua Jin (662923) +3 more
core +1 more source