Pub Date : 2022-01-01DOI: 10.12677/jisp.2022.113009
淦华 蒋
{"title":"Adaptive High Precision Frequency Measurement Algorithm Based on Double Timer","authors":"淦华 蒋","doi":"10.12677/jisp.2022.113009","DOIUrl":"https://doi.org/10.12677/jisp.2022.113009","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":"66118383","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}
Pub Date : 2022-01-01DOI: 10.12677/jisp.2022.113011
柯 李
{"title":"Research on Moving Small Target Detection and Tracking System of Simulated Flying Insect Compound Eye Vision","authors":"柯 李","doi":"10.12677/jisp.2022.113011","DOIUrl":"https://doi.org/10.12677/jisp.2022.113011","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":"66118610","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}
Pub Date : 2022-01-01DOI: 10.12677/jisp.2022.114020
敏界 许
{"title":"Trajectory Tracking of Aquatic Fish Breeding Based on Embedded Image Processing System","authors":"敏界 许","doi":"10.12677/jisp.2022.114020","DOIUrl":"https://doi.org/10.12677/jisp.2022.114020","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":"66118776","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}
Pub Date : 2022-01-01DOI: 10.12677/jisp.2022.113010
迪 王
{"title":"Wavelet-Based Compressive Total Variation Model for Image Denoising","authors":"迪 王","doi":"10.12677/jisp.2022.113010","DOIUrl":"https://doi.org/10.12677/jisp.2022.113010","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":"66118498","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}
Pub Date : 2022-01-01DOI: 10.12677/jisp.2022.112007
杰彬 苏
An efficient image encryption algorithm based on permutation-diffusion mode is proposed by combining 2D skew tent map with Chinese remainder theorem. In the permutation process, the algorithm uses 2D skew tent map to generate chaotic sequences and arrange the chaotic sequences in ascending order to obtain the position index sequences, which are used for random scrambling of image pixel positions. In the diffusion process, Chinese Remainder Theorem is used to reconstruct the scrambled image color components, and a generalized Arnold map with real parameters is in-troduced to change the gray value distribution of the image color component. All kinds of security analysis show that the image encryption algorithm proposed in this paper is effective and can effectively resist various attacks.
{"title":"Color Image Encryption Algorithm Based on 2D Skew Tent Map and Chinese Remainder Theorem","authors":"杰彬 苏","doi":"10.12677/jisp.2022.112007","DOIUrl":"https://doi.org/10.12677/jisp.2022.112007","url":null,"abstract":"An efficient image encryption algorithm based on permutation-diffusion mode is proposed by combining 2D skew tent map with Chinese remainder theorem. In the permutation process, the algorithm uses 2D skew tent map to generate chaotic sequences and arrange the chaotic sequences in ascending order to obtain the position index sequences, which are used for random scrambling of image pixel positions. In the diffusion process, Chinese Remainder Theorem is used to reconstruct the scrambled image color components, and a generalized Arnold map with real parameters is in-troduced to change the gray value distribution of the image color component. All kinds of security analysis show that the image encryption algorithm proposed in this paper is effective and can effectively resist various attacks.","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":"66118189","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}
Pub Date : 2022-01-01DOI: 10.12677/jisp.2022.113012
胜慧 刘
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.
{"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}
Pub Date : 2022-01-01DOI: 10.12677/jisp.2022.114021
维平 唐
{"title":"Design of Wavelength Measurement System in Laser Alarm Based on FPGA Image Acquisition and Processing","authors":"维平 唐","doi":"10.12677/jisp.2022.114021","DOIUrl":"https://doi.org/10.12677/jisp.2022.114021","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":"66118793","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}
Pub Date : 2022-01-01DOI: 10.12677/jisp.2022.111004
宇 高
{"title":"Design of Intelligent Parking Space Management System Based on Image Recognition","authors":"宇 高","doi":"10.12677/jisp.2022.111004","DOIUrl":"https://doi.org/10.12677/jisp.2022.111004","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":"66117873","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}
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