图像与信号处理 Pub Date : 2022-01-01 DOI: 10.12677/jisp.2022.113009

淦华蒋

引用次数: 0

Research on Moving Small Target Detection and Tracking System of Simulated Flying Insect Compound Eye Vision 模拟飞虫复眼视觉运动小目标检测与跟踪系统研究

图像与信号处理 Pub Date : 2022-01-01 DOI: 10.12677/jisp.2022.113011

柯李

引用次数: 1

Trajectory Tracking of Aquatic Fish Breeding Based on Embedded Image Processing System 基于嵌入式图像处理系统的水产养殖轨迹跟踪

图像与信号处理 Pub Date : 2022-01-01 DOI: 10.12677/jisp.2022.114020

敏界许

引用次数: 0

Low Illumination Image Enhancement Based on MSRCR-Laplace Pyramid Method 基于msrcr -拉普拉斯金字塔法的低照度图像增强

图像与信号处理 Pub Date : 2022-01-01 DOI: 10.12677/jisp.2022.113013

申澳刘

引用次数: 0

Wavelet-Based Compressive Total Variation Model for Image Denoising 基于小波压缩全变分模型的图像去噪

图像与信号处理 Pub Date : 2022-01-01 DOI: 10.12677/jisp.2022.113010

迪王

引用次数: 0

Color Image Encryption Algorithm Based on 2D Skew Tent Map and Chinese Remainder Theorem 基于二维斜帐篷图和中国剩余定理的彩色图像加密算法

图像与信号处理 Pub Date : 2022-01-01 DOI: 10.12677/jisp.2022.112007

杰彬苏

引用次数: 0

Impulse Noise Denoising Algorithm Based on Conjugate Gradient 基于共轭梯度的脉冲噪声去噪算法

图像与信号处理 Pub Date : 2022-01-01 DOI: 10.12677/jisp.2022.113014

敏孙

引用次数: 0

A Wear Type Recognition Algorithm for Ferrography Images Based on CBAM-EfficientNet-B0 基于CBAM-EfficientNet-B0的铁谱图像磨损类型识别算法

图像与信号处理 Pub Date : 2022-01-01 DOI: 10.12677/jisp.2022.113012

胜慧刘

{"title":"A Wear Type Recognition Algorithm for Ferrography Images Based on CBAM-EfficientNet-B0","authors":"胜慧刘","doi":"10.12677/jisp.2022.113012","DOIUrl":"https://doi.org/10.12677/jisp.2022.113012","url":null,"abstract":"Ferrographic image wear type identification is an important method to analyze the wear failure of mechanical equipment. Aiming at the problem of low classification accuracy caused by the small number of samples in the abrasive particle dataset and the small differences in texture, shape and color of different wear types, a wear type recognition algorithm based on improved EfficientNet network was proposed. In this paper, EfficientNet-B0 is selected as the basic model for wear type recognition, and the CBAM attention module is integrated into EfficientNet-B0 to construct CBAM-EfficientNet-B0, thereby improving the focusing ability and information expression ability of abrasive particles. In this paper, a dataset of abrasive grain images for five types of wear is con-structed. The wear type recognition ability of CBAM-EfficientNet-B0 is tested on the test dataset. The experimental results show that the accuracy of the wear type identification algorithm CBAM-EfficientNet-B0 proposed in this paper is 92.55%, which is 2.51% higher than that of the Effi-cientNet-B0 algorithm before the improvement, which improves the accuracy and efficiency of mechanical equipment wear state identification. Comparing CBAM-EfficientNet-B0 with MobilenetV3, Resnet50, VGG16 and ViT classification models, the experimental results show that the precision, recall and accuracy of CBAM-EfficientNet-B0 are higher than other methods in the com-parative experiments. This research provides new technical options for condition maintenance and fault diagnosis of equipment.","PeriodicalId":69487,"journal":{"name":"图像与信号处理","volume":"65 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66118676","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

Design of Wavelength Measurement System in Laser Alarm Based on FPGA Image Acquisition and Processing 基于FPGA图像采集与处理的激光报警波长测量系统设计

图像与信号处理 Pub Date : 2022-01-01 DOI: 10.12677/jisp.2022.114021

维平唐

引用次数: 0

Design of Intelligent Parking Space Management System Based on Image Recognition 基于图像识别的智能车位管理系统设计

图像与信号处理 Pub Date : 2022-01-01 DOI: 10.12677/jisp.2022.111004

宇高

引用次数: 0

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