{"title":"基于图像相位相关的医学图像拼接技术","authors":"Xu Jing, Y. X. Hong, S. Xin, M. Ying","doi":"10.1109/ICDH.2012.51","DOIUrl":null,"url":null,"abstract":"Based on the medical image characteristic, this text has made the related improvement for the insufficiency which exists in image mosaic algorithm. It has used the method which unified iteration threshold value division and the canny edge examination operator to extract image edge, calculates the matching parameter between the images using the expansion phase correlation method. The experimental result has indicated that the algorithm proposed in the article can complete the medicine image mosaic precisely and quickly, which has achieved satisfactory mosaic effect.","PeriodicalId":308799,"journal":{"name":"2012 Fourth International Conference on Digital Home","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Medical Image Mosaic Technology Based on Image Phase Correlation\",\"authors\":\"Xu Jing, Y. X. Hong, S. Xin, M. Ying\",\"doi\":\"10.1109/ICDH.2012.51\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the medical image characteristic, this text has made the related improvement for the insufficiency which exists in image mosaic algorithm. It has used the method which unified iteration threshold value division and the canny edge examination operator to extract image edge, calculates the matching parameter between the images using the expansion phase correlation method. The experimental result has indicated that the algorithm proposed in the article can complete the medicine image mosaic precisely and quickly, which has achieved satisfactory mosaic effect.\",\"PeriodicalId\":308799,\"journal\":{\"name\":\"2012 Fourth International Conference on Digital Home\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Fourth International Conference on Digital Home\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDH.2012.51\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International Conference on Digital Home","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDH.2012.51","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Medical Image Mosaic Technology Based on Image Phase Correlation
Based on the medical image characteristic, this text has made the related improvement for the insufficiency which exists in image mosaic algorithm. It has used the method which unified iteration threshold value division and the canny edge examination operator to extract image edge, calculates the matching parameter between the images using the expansion phase correlation method. The experimental result has indicated that the algorithm proposed in the article can complete the medicine image mosaic precisely and quickly, which has achieved satisfactory mosaic effect.
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