Harbinder Singh, Haya Fatima, Samreeti Sharma, D. Arora
{"title":"一种基于红外与可见光图像融合的红外目标定位新方法","authors":"Harbinder Singh, Haya Fatima, Samreeti Sharma, D. Arora","doi":"10.1109/ISPCC.2017.8269681","DOIUrl":null,"url":null,"abstract":"The main ambition of the research article is to present a approach for locating infrared (IR) targets by fusion of IR and visible images by making use of thresholding techniques. In this paper, a modified form of the existing local thresholding techniques is introduced which aims to overcome the major drawbacks of the already-developed methods. The binarization technique is used for separating the target from the background of infrared image. On combining this IR image with visible image, a better and enhanced resulting image possessing even minuscule details of the surrounding and the hidden targets are obtained. The technique proposed here generates an output which is immune to noise and preserves the edge information of the image.","PeriodicalId":142166,"journal":{"name":"2017 4th International Conference on Signal Processing, Computing and Control (ISPCC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A novel approach for IR target localization based on IR and visible image fusion\",\"authors\":\"Harbinder Singh, Haya Fatima, Samreeti Sharma, D. Arora\",\"doi\":\"10.1109/ISPCC.2017.8269681\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main ambition of the research article is to present a approach for locating infrared (IR) targets by fusion of IR and visible images by making use of thresholding techniques. In this paper, a modified form of the existing local thresholding techniques is introduced which aims to overcome the major drawbacks of the already-developed methods. The binarization technique is used for separating the target from the background of infrared image. On combining this IR image with visible image, a better and enhanced resulting image possessing even minuscule details of the surrounding and the hidden targets are obtained. The technique proposed here generates an output which is immune to noise and preserves the edge information of the image.\",\"PeriodicalId\":142166,\"journal\":{\"name\":\"2017 4th International Conference on Signal Processing, Computing and Control (ISPCC)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 4th International Conference on Signal Processing, Computing and Control (ISPCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPCC.2017.8269681\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 4th International Conference on Signal Processing, Computing and Control (ISPCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPCC.2017.8269681","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel approach for IR target localization based on IR and visible image fusion
The main ambition of the research article is to present a approach for locating infrared (IR) targets by fusion of IR and visible images by making use of thresholding techniques. In this paper, a modified form of the existing local thresholding techniques is introduced which aims to overcome the major drawbacks of the already-developed methods. The binarization technique is used for separating the target from the background of infrared image. On combining this IR image with visible image, a better and enhanced resulting image possessing even minuscule details of the surrounding and the hidden targets are obtained. The technique proposed here generates an output which is immune to noise and preserves the edge information of the image.