Tongxin Du, Bin Fang, Mingliang Zhou, Henjun Zhao, Weizhi Xian, X. Wu
{"title":"基于边缘和区域信息的鱼眼图像有效区域分割算法","authors":"Tongxin Du, Bin Fang, Mingliang Zhou, Henjun Zhao, Weizhi Xian, X. Wu","doi":"10.1109/ICIP40778.2020.9191294","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a method to segment the valid region of fisheye images. First, we construct an objective function with three terms, which are the region driving term, the edge driving term and the length regularization term. Second, we minimize this objective function by a modified gradient descent method to find the best segmentation result. Our method can achieve valid region segmentation by making use of both region information and edge information. Experiments show that the proposed method can deal with blurred edges, halation noise and incomplete valid region problems.","PeriodicalId":405734,"journal":{"name":"2020 IEEE International Conference on Image Processing (ICIP)","volume":"152 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Segmentation Algorithm of the Valid Region in Fisheye Images Using Edge and Region Information\",\"authors\":\"Tongxin Du, Bin Fang, Mingliang Zhou, Henjun Zhao, Weizhi Xian, X. Wu\",\"doi\":\"10.1109/ICIP40778.2020.9191294\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a method to segment the valid region of fisheye images. First, we construct an objective function with three terms, which are the region driving term, the edge driving term and the length regularization term. Second, we minimize this objective function by a modified gradient descent method to find the best segmentation result. Our method can achieve valid region segmentation by making use of both region information and edge information. Experiments show that the proposed method can deal with blurred edges, halation noise and incomplete valid region problems.\",\"PeriodicalId\":405734,\"journal\":{\"name\":\"2020 IEEE International Conference on Image Processing (ICIP)\",\"volume\":\"152 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Conference on Image Processing (ICIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIP40778.2020.9191294\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Image Processing (ICIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP40778.2020.9191294","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Segmentation Algorithm of the Valid Region in Fisheye Images Using Edge and Region Information
In this paper, we propose a method to segment the valid region of fisheye images. First, we construct an objective function with three terms, which are the region driving term, the edge driving term and the length regularization term. Second, we minimize this objective function by a modified gradient descent method to find the best segmentation result. Our method can achieve valid region segmentation by making use of both region information and edge information. Experiments show that the proposed method can deal with blurred edges, halation noise and incomplete valid region problems.