{"title":"Research on the grabcut image segmentation method based on superpixel","authors":"Yang Liu, Ningning Zhou, Guofang Huang","doi":"10.1109/ISKE.2017.8258721","DOIUrl":null,"url":null,"abstract":"In order to overcome the Excessive time complexity of bad quality when the disposing the picture whose foreground is similar to background of grabcut method, a grabcut method based on superpixel is proposed in this paper. This method, firstly, extracting the superpixel block of the picture. And then, split the picture which is extracted. The experimental results show that this method is effective to improve the speed of segmentation. What's more, this method can solve the problem of bad quality when the disposing the image whose foreground is similar to background in a certain extent. This paper has certain advantage in disposing those image whose size are too big and foreground is similar to background.","PeriodicalId":208009,"journal":{"name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISKE.2017.8258721","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In order to overcome the Excessive time complexity of bad quality when the disposing the picture whose foreground is similar to background of grabcut method, a grabcut method based on superpixel is proposed in this paper. This method, firstly, extracting the superpixel block of the picture. And then, split the picture which is extracted. The experimental results show that this method is effective to improve the speed of segmentation. What's more, this method can solve the problem of bad quality when the disposing the image whose foreground is similar to background in a certain extent. This paper has certain advantage in disposing those image whose size are too big and foreground is similar to background.