{"title":"基于量子图像表示的图像分类研究","authors":"Ankit Khandelwal, M. Chandra, Sayantani Pramanik","doi":"10.1109/SEC54971.2022.00067","DOIUrl":null,"url":null,"abstract":"Quantum Image Representation is researched from last few years, and more active in the recent past. Set to examine how these representations would be useful for Image Processing in a quantum way, we considered the Quantum Machine Learning problem of image classification in this paper. Encouraging results have been provided on classifying benchmark datasets of grayscale and colour images using two different classifiers and their combination. Multiclass classification performance has also been tested.","PeriodicalId":364062,"journal":{"name":"2022 IEEE/ACM 7th Symposium on Edge Computing (SEC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"On Classifying Images using Quantum Image Representation\",\"authors\":\"Ankit Khandelwal, M. Chandra, Sayantani Pramanik\",\"doi\":\"10.1109/SEC54971.2022.00067\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Quantum Image Representation is researched from last few years, and more active in the recent past. Set to examine how these representations would be useful for Image Processing in a quantum way, we considered the Quantum Machine Learning problem of image classification in this paper. Encouraging results have been provided on classifying benchmark datasets of grayscale and colour images using two different classifiers and their combination. Multiclass classification performance has also been tested.\",\"PeriodicalId\":364062,\"journal\":{\"name\":\"2022 IEEE/ACM 7th Symposium on Edge Computing (SEC)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE/ACM 7th Symposium on Edge Computing (SEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SEC54971.2022.00067\",\"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/ACM 7th Symposium on Edge Computing (SEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SEC54971.2022.00067","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On Classifying Images using Quantum Image Representation
Quantum Image Representation is researched from last few years, and more active in the recent past. Set to examine how these representations would be useful for Image Processing in a quantum way, we considered the Quantum Machine Learning problem of image classification in this paper. Encouraging results have been provided on classifying benchmark datasets of grayscale and colour images using two different classifiers and their combination. Multiclass classification performance has also been tested.