{"title":"利用二次阈值确定去除熔化图像的镶嵌效果","authors":"Liang Chen, Tian-shu Yang, Mei Li, Guangcheng Ma","doi":"10.1109/WARTIA.2014.6976295","DOIUrl":null,"url":null,"abstract":"In the molten rock deformation experiments images often shaped by exposure of different photos stitched together, for the molten maldistribution problem of the mosaic effect, this paper presents a method based on quadratic threshold determination to balance, It can be seen, compared with the nonlinear dynamic range adjustment method, this method can better solve the problem of mosaic effect.","PeriodicalId":288854,"journal":{"name":"2014 IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Remove the melting image mosaic effect by using a secondary threshold determination\",\"authors\":\"Liang Chen, Tian-shu Yang, Mei Li, Guangcheng Ma\",\"doi\":\"10.1109/WARTIA.2014.6976295\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the molten rock deformation experiments images often shaped by exposure of different photos stitched together, for the molten maldistribution problem of the mosaic effect, this paper presents a method based on quadratic threshold determination to balance, It can be seen, compared with the nonlinear dynamic range adjustment method, this method can better solve the problem of mosaic effect.\",\"PeriodicalId\":288854,\"journal\":{\"name\":\"2014 IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WARTIA.2014.6976295\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WARTIA.2014.6976295","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Remove the melting image mosaic effect by using a secondary threshold determination
In the molten rock deformation experiments images often shaped by exposure of different photos stitched together, for the molten maldistribution problem of the mosaic effect, this paper presents a method based on quadratic threshold determination to balance, It can be seen, compared with the nonlinear dynamic range adjustment method, this method can better solve the problem of mosaic effect.