Signal Image and Video Processing最新文献_第2页

Lightweight improved yolov5 model for cucumber leaf disease and pest detection based on deep learning 基于深度学习的黄瓜叶片病虫害检测轻量级改进yolov5模型

4区计算机科学

Signal Image and Video Processing Pub Date : 2023-11-10 DOI: 10.1007/s11760-023-02865-9

Saman M. Omer, Kayhan Z. Ghafoor, Shavan K. Askar

引用次数: 0

SiamMaskAttn: inverted residual attention block fusing multi-scale feature information for multitask visual object tracking networks SiamMaskAttn:多任务视觉目标跟踪网络中融合多尺度特征信息的倒残差注意块

4区计算机科学

Signal Image and Video Processing Pub Date : 2023-11-09 DOI: 10.1007/s11760-023-02827-1

Xiaofeng Bian, Chenggang Guo

引用次数: 0

Rolling bearing fault diagnosis in strong noise background based on vibration signals 基于振动信号的强噪声背景下滚动轴承故障诊断

4区计算机科学

Signal Image and Video Processing Pub Date : 2023-11-08 DOI: 10.1007/s11760-023-02846-y

Dongjie Li, Mingyue Li, Liu Yang, Xueying Wang, Fuyue Zhang, Yu Liang

引用次数: 0

Twin-stage Unet-like network for single image deraining 双级unet类网络，用于单幅图像训练

4区计算机科学

Signal Image and Video Processing Pub Date : 2023-11-07 DOI: 10.1007/s11760-023-02824-4

Weina Zhou, Xiu Wang

引用次数: 0

SIGAA: signaling automated analysis: a new tool for Ca2+ signaling quantification using ratiometric Ca2+ dyes SIGAA:信号自动分析:一个新的工具，为Ca2+信号定量使用比例的Ca2+染料

4区计算机科学

Signal Image and Video Processing Pub Date : 2023-11-04 DOI: 10.1007/s11760-023-02821-7

Rafael Faria Lopes, Joana Gonçalves-Ribeiro, Ana M. Sebastião, Carlos Meneses, Sandra H. Vaz

{"title":"SIGAA: signaling automated analysis: a new tool for Ca2+ signaling quantification using ratiometric Ca2+ dyes","authors":"Rafael Faria Lopes, Joana Gonçalves-Ribeiro, Ana M. Sebastião, Carlos Meneses, Sandra H. Vaz","doi":"10.1007/s11760-023-02821-7","DOIUrl":"https://doi.org/10.1007/s11760-023-02821-7","url":null,"abstract":"Abstract Astrocytes are non-neural cells, restricted to the brain and spinal cord, whose functions and morphology depend on their location. Astrocyte–astrocyte and astrocyte–neuron interactions occur through cytoplasmic Ca 2+ level changes that are assessed to determine cell function and response (i.e., drug testing). The evaluation of alterations in intracellular Ca 2+ levels primarily relies on fluorescence imaging techniques, performed through video recording of cells incubated with Ca 2+ -sensitive dyes. By observing ion concentration shifts over time in a delimited region of interest (ROI) encompassing a single cell, it is possible to draw conclusions on cell responses to specific stimuli. Our work describes a tool named SIGAA — signaling automated analysis , for astrocyte ROI-based fluorescent imaging. This tool is specifically tailored for two wavelengths excited dyes by using two inputs of Ca 2+ signaling recorded frames/videos and outputting a set of features relevant to the experiment’s conclusions and cell characterization. SIGAA performs automatic drift correction for the two recorded videos with a template matching algorithm, followed by astrocyte identification (ROI) using morphological reconstruction techniques. Subsequently, SIGAA extracts intracellular Ca 2+ evolution functions for all identified ROIs detects function transients, and estimates a set of features for each signal. These features closely resemble those obtained through traditional methods and software used thus far. SIGAA is a new fully automated tool, which can speed up hour-long studies and analysis to a few minutes, showing reliable results as the validity tests indicate.","PeriodicalId":54393,"journal":{"name":"Signal Image and Video Processing","volume":"13 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135773367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Uncovering visual attention-based multi-level tampering traces for face forgery detection 揭示基于视觉注意力的多层次篡改痕迹用于人脸伪造检测

4区计算机科学

Signal Image and Video Processing Pub Date : 2023-11-04 DOI: 10.1007/s11760-023-02774-x

Ankit Yadav, Dhruv Gupta, Dinesh Kumar Vishwakarma

引用次数: 0

Nonlinear fuzzy forecasting system for wind speed interval forecasting based on self-adaption feature selecting and Bi-LSTM 基于自适应特征选择和Bi-LSTM的风速区间非线性模糊预测系统

4区计算机科学

Signal Image and Video Processing Pub Date : 2023-11-03 DOI: 10.1007/s11760-023-02759-w

Haipeng Zhang, Jianzhou Wang, Qiwei Li

引用次数: 0

Multi-scale feature flow alignment fusion with Transformer for the microscopic images segmentation of activated sludge 基于Transformer的多尺度特征流对齐融合在活性污泥显微图像分割中的应用

4区计算机科学

Signal Image and Video Processing Pub Date : 2023-11-02 DOI: 10.1007/s11760-023-02836-0

Lijie Zhao, Yingying Zhang, Guogang Wang, Mingzhong Huang, Qichun Zhang, Hamid Reza Karimi

{"title":"Multi-scale feature flow alignment fusion with Transformer for the microscopic images segmentation of activated sludge","authors":"Lijie Zhao, Yingying Zhang, Guogang Wang, Mingzhong Huang, Qichun Zhang, Hamid Reza Karimi","doi":"10.1007/s11760-023-02836-0","DOIUrl":"https://doi.org/10.1007/s11760-023-02836-0","url":null,"abstract":"Abstract Accurate microscopic images segmentation of activated sludge is essential for monitoring wastewater treatment processes. However, it is a challenging task due to poor contrast, artifacts, morphological similarities, and distribution imbalance. A novel image segmentation model (FafFormer) was developed in the work based on Transformer that incorporated pyramid pooling and flow alignment fusion. Pyramid Pooling Module was used to extract multi-scale features of flocs and filamentous bacteria with different morphology in the encoder. Multi-scale features were fused by flow alignment fusion module in the decoder. The module used generated semantic flow as auxiliary information to restore boundary details and facilitate fine-grained upsampling. The Focal–Lovász Loss was designed to handle class imbalance for filamentous bacteria and flocs. Image-segmentation experiments were conducted on an activated sludge dataset from a municipal wastewater treatment plant. FafFormer showed relative superiority in accuracy and reliability, especially for filamentous bacteria compared to existing models.","PeriodicalId":54393,"journal":{"name":"Signal Image and Video Processing","volume":"107 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135933582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A new hybrid approach based on AOA, CNN and feature fusion that can automatically diagnose Parkinson's disease from sound signals: PDD-AOA-CNN 一种基于AOA、CNN和特征融合的声音信号自动诊断帕金森病的新方法:PDD-AOA-CNN

4区计算机科学

Signal Image and Video Processing Pub Date : 2023-11-01 DOI: 10.1007/s11760-023-02826-2

Muhammed Yildirim, Soner Kiziloluk, Serpil Aslan, Eser Sert

引用次数: 0

A residual multi-scale feature extraction network with hybrid loss for low-dose computed tomography image denoising 基于混合损失的残差多尺度特征提取网络在低剂量ct图像去噪中的应用

4区计算机科学

Signal Image and Video Processing Pub Date : 2023-11-01 DOI: 10.1007/s11760-023-02809-3

Lina Jia, Aimin Huang, Xu He, Zongyang Li, Jianan Liang

引用次数: 0