O. E. Meslouhi, Hakim Allali, T. Gadi, Yassir Ait Benkaddour, M. Kardouchi
{"title":"使用反对者描述符的图像配准:应用于具有镜面反射的阴道镜图像","authors":"O. E. Meslouhi, Hakim Allali, T. Gadi, Yassir Ait Benkaddour, M. Kardouchi","doi":"10.1109/SITIS.2010.13","DOIUrl":null,"url":null,"abstract":"This paper presents a medical imaging system able to assist practitioner to analyze colposcopic images. The goal is to automatically make all images to a common frame. Image registration has been used to ensure pixel correspondence to the same tissue location throughout the whole temporal sequence. Best approaches are based on using local information, but they are very sensitive to light change and reflections which are frequently current in colposcopic images. In this paper, we propose an approach less sensitive to these variations, moreover, it works well even if reflections are present in colposcopic images. The efficiency and the robustness of the method for colposcopic images are demonstrated.","PeriodicalId":128396,"journal":{"name":"2010 Sixth International Conference on Signal-Image Technology and Internet Based Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Image Registration Using OpponentSIFT Descriptor: Application to Colposcopic Images with Specular Reflections\",\"authors\":\"O. E. Meslouhi, Hakim Allali, T. Gadi, Yassir Ait Benkaddour, M. Kardouchi\",\"doi\":\"10.1109/SITIS.2010.13\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a medical imaging system able to assist practitioner to analyze colposcopic images. The goal is to automatically make all images to a common frame. Image registration has been used to ensure pixel correspondence to the same tissue location throughout the whole temporal sequence. Best approaches are based on using local information, but they are very sensitive to light change and reflections which are frequently current in colposcopic images. In this paper, we propose an approach less sensitive to these variations, moreover, it works well even if reflections are present in colposcopic images. The efficiency and the robustness of the method for colposcopic images are demonstrated.\",\"PeriodicalId\":128396,\"journal\":{\"name\":\"2010 Sixth International Conference on Signal-Image Technology and Internet Based Systems\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Sixth International Conference on Signal-Image Technology and Internet Based Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SITIS.2010.13\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Sixth International Conference on Signal-Image Technology and Internet Based Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SITIS.2010.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image Registration Using OpponentSIFT Descriptor: Application to Colposcopic Images with Specular Reflections
This paper presents a medical imaging system able to assist practitioner to analyze colposcopic images. The goal is to automatically make all images to a common frame. Image registration has been used to ensure pixel correspondence to the same tissue location throughout the whole temporal sequence. Best approaches are based on using local information, but they are very sensitive to light change and reflections which are frequently current in colposcopic images. In this paper, we propose an approach less sensitive to these variations, moreover, it works well even if reflections are present in colposcopic images. The efficiency and the robustness of the method for colposcopic images are demonstrated.