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Research on Image Enhancement System of Low Visibility Scene in Rail Transit 轨道交通低能见度场景图像增强系统研究
Pub Date : 2023-01-01 DOI: 10.12677/jisp.2023.123030
小军 袁
Visual tasks such as object detection and semantic segmentation are applied to many scenes in rail transit. Most visual systems are designed to execute in clear environments. However, real rail transit scenes inevitably contain degraded image scenes, such as the harsh weather encountered by trains outside all year round
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引用次数: 0
Survey of Automatic Identification of Field Pests Based on Deep Learning 基于深度学习的田间害虫自动识别研究进展
Pub Date : 2023-01-01 DOI: 10.12677/jisp.2023.122008
雪如 赵
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引用次数: 0
Three-Way Filtering Method in Spatial Domain of Full-Color Remote Sensing Image 全彩色遥感图像空间域的三向滤波方法
Pub Date : 2023-01-01 DOI: 10.12677/jisp.2023.123024
爱民 段
In order to improve the remote sensing image
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引用次数: 0
Semantic Segmentation Model Based on Four Channel Non-Separable Additive Wavelet Combined with DeepLabv3+ 结合DeepLabv3+的四通道不可分离加性小波语义分割模型
Pub Date : 2023-01-01 DOI: 10.12677/jisp.2023.123028
斌 刘
In order to improve the loss of details in the traditional semantic segmentation model, which leads to the decline of information, we propose an improved DeepLabv3+ network segmentation model. Firstly, replace the backbone network with the MobileNetV2 network. Secondly, the source image is decomposed by constructing a four-channel non-separable wavelet low-pass filter, and the high-frequency subimage of the source image is extracted. Thirdly, the common convolution is replaced by deep separable convolution and the adaptive refinement feature of convolutional attention module (CBAM) is introduced to improve the segmentation effect of the network model. The experimental results show that on the VOC data set, the mean intersection over union (MIoU) of the improved model is 0.94% higher than that of the original DeepLabv3+ model, the mean pixel accuracy (MPA) is 1.34% higher than the original DeepLabv3+ model, and the accuracy is 0.19% higher than the original DeepLabv3+ model. On the BDD100K data set, mean intersection over union is 0.53% higher than the original DeepLabv3+ model. The DeepLabv3+ mean pixel accuracy is 0.15% higher than the original DeepLabv3+ model, and the accuracy is 0.13% higher than the original DeepLabv3+ model. Both subjective and objective results show that our model is better than the original model.
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引用次数: 0
Method and Application of Visual Relationship Detection Based on Deep Learning 基于深度学习的视觉关系检测方法及应用
Pub Date : 2022-01-01 DOI: 10.12677/jisp.2022.113016
婧婧 汤
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引用次数: 0
Similarity Prediction of Weather Situation Field Image Based on Locality Sensitive Hashing 基于局部敏感哈希的天气状况场图像相似性预测
Pub Date : 2022-01-01 DOI: 10.12677/jisp.2022.114018
旭 闫
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引用次数: 0
A Novel Image Protection Scheme Based on Data Hiding 一种新的基于数据隐藏的图像保护方案
Pub Date : 2022-01-01 DOI: 10.12677/jisp.2022.113015
海萍 陈
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引用次数: 0
Design of a Mobile Non-Contact Face Temperature Measurement Device 一种移动非接触式面部温度测量装置的设计
Pub Date : 2022-01-01 DOI: 10.12677/jisp.2022.111002
美娜 郑
{"title":"Design of a Mobile Non-Contact Face Temperature Measurement Device","authors":"美娜 郑","doi":"10.12677/jisp.2022.111002","DOIUrl":"https://doi.org/10.12677/jisp.2022.111002","url":null,"abstract":"","PeriodicalId":69487,"journal":{"name":"图像与信号处理","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66118097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on Situation Field Image Segmentation Based on FCM Clustering 基于FCM聚类的态势场图像分割研究
Pub Date : 2022-01-01 DOI: 10.12677/jisp.2022.112006
光亮 胡
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引用次数: 0
Design and Implementation of Image Watermarking System Based on Visual Features 基于视觉特征的图像水印系统的设计与实现
Pub Date : 2022-01-01 DOI: 10.12677/jisp.2022.111003
沂岳 车
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引用次数: 0
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图像与信号处理
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