Gang Cao, Yaohong Liu, Liang Chen, Tong Xu, Ting Yu, Sixu Yang, Yu Zhang, Yi Hu
{"title":"基于人工智能的电力图像识别数据自动筛选算法研究","authors":"Gang Cao, Yaohong Liu, Liang Chen, Tong Xu, Ting Yu, Sixu Yang, Yu Zhang, Yi Hu","doi":"10.1109/ICPECA53709.2022.9719096","DOIUrl":null,"url":null,"abstract":"In this paper, artificial intelligence digital image processing technology is used to process power images to form an automatic power image screening system. This method can replace the traditional artificial power image recognition method. This paper studies the specific methods of power image processing and the feasibility of applying them to power image recognition systems. It studies various algorithms for image recognition data automatic screening, feature extraction and pattern recognition, and studies feature extraction for power images. As well as a variety of algorithms for model recognition, we have studied the monitoring and recognition algorithms for power images based on SIFT and RANSAC methods. The selected template image and the key points of the test image are roughly matched. RANSAC removes the wrong matching points. Affine transformation, positioning the set template image in the test image.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"515 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Automatic Screening Algorithm of Electric Power Image Recognition Data Based on Artificial Intelligence\",\"authors\":\"Gang Cao, Yaohong Liu, Liang Chen, Tong Xu, Ting Yu, Sixu Yang, Yu Zhang, Yi Hu\",\"doi\":\"10.1109/ICPECA53709.2022.9719096\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, artificial intelligence digital image processing technology is used to process power images to form an automatic power image screening system. This method can replace the traditional artificial power image recognition method. This paper studies the specific methods of power image processing and the feasibility of applying them to power image recognition systems. It studies various algorithms for image recognition data automatic screening, feature extraction and pattern recognition, and studies feature extraction for power images. As well as a variety of algorithms for model recognition, we have studied the monitoring and recognition algorithms for power images based on SIFT and RANSAC methods. The selected template image and the key points of the test image are roughly matched. RANSAC removes the wrong matching points. Affine transformation, positioning the set template image in the test image.\",\"PeriodicalId\":244448,\"journal\":{\"name\":\"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)\",\"volume\":\"515 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPECA53709.2022.9719096\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPECA53709.2022.9719096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Automatic Screening Algorithm of Electric Power Image Recognition Data Based on Artificial Intelligence
In this paper, artificial intelligence digital image processing technology is used to process power images to form an automatic power image screening system. This method can replace the traditional artificial power image recognition method. This paper studies the specific methods of power image processing and the feasibility of applying them to power image recognition systems. It studies various algorithms for image recognition data automatic screening, feature extraction and pattern recognition, and studies feature extraction for power images. As well as a variety of algorithms for model recognition, we have studied the monitoring and recognition algorithms for power images based on SIFT and RANSAC methods. The selected template image and the key points of the test image are roughly matched. RANSAC removes the wrong matching points. Affine transformation, positioning the set template image in the test image.