Abdullah Asim Yilmaz, M. Güzel, Iman N. Askerzade, E. Bostanci
{"title":"基于纹理合成方法的区域填充算法比较","authors":"Abdullah Asim Yilmaz, M. Güzel, Iman N. Askerzade, E. Bostanci","doi":"10.1109/ICEEE2019.2019.00072","DOIUrl":null,"url":null,"abstract":"This study aims to apply the region filling operations in an optimized way by using the methods of texture synthesis and carry out experimental analysis comparisons with the results obtained from those methods. The texture synthesis approaches employed in the study are \"Exemplar Based Image In-painting\", \"Patch-Based Sampling\", \"Non-parametric Sampling\" approaches respectively. The working methodology declared here follows four main stages. First, appropriate image data sets are selected. Then, the methodologies of texture synthesis to be utilized is determined. Afterwards, region filling operations are performed with the application of texture synthesis approaches on images. Finally, experimental results are obtained and evaluated.","PeriodicalId":407725,"journal":{"name":"2019 6th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparison of Region Filling Algorithms Using Texture Synthesis Methodologies\",\"authors\":\"Abdullah Asim Yilmaz, M. Güzel, Iman N. Askerzade, E. Bostanci\",\"doi\":\"10.1109/ICEEE2019.2019.00072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aims to apply the region filling operations in an optimized way by using the methods of texture synthesis and carry out experimental analysis comparisons with the results obtained from those methods. The texture synthesis approaches employed in the study are \\\"Exemplar Based Image In-painting\\\", \\\"Patch-Based Sampling\\\", \\\"Non-parametric Sampling\\\" approaches respectively. The working methodology declared here follows four main stages. First, appropriate image data sets are selected. Then, the methodologies of texture synthesis to be utilized is determined. Afterwards, region filling operations are performed with the application of texture synthesis approaches on images. Finally, experimental results are obtained and evaluated.\",\"PeriodicalId\":407725,\"journal\":{\"name\":\"2019 6th International Conference on Electrical and Electronics Engineering (ICEEE)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 6th International Conference on Electrical and Electronics Engineering (ICEEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEEE2019.2019.00072\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 6th International Conference on Electrical and Electronics Engineering (ICEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEE2019.2019.00072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparison of Region Filling Algorithms Using Texture Synthesis Methodologies
This study aims to apply the region filling operations in an optimized way by using the methods of texture synthesis and carry out experimental analysis comparisons with the results obtained from those methods. The texture synthesis approaches employed in the study are "Exemplar Based Image In-painting", "Patch-Based Sampling", "Non-parametric Sampling" approaches respectively. The working methodology declared here follows four main stages. First, appropriate image data sets are selected. Then, the methodologies of texture synthesis to be utilized is determined. Afterwards, region filling operations are performed with the application of texture synthesis approaches on images. Finally, experimental results are obtained and evaluated.