{"title":"带平滑项的活动轮廓:在医学成像中的应用","authors":"Riad Dib","doi":"10.37394/232014.2020.16.13","DOIUrl":null,"url":null,"abstract":"The segmentation of images is to group the different pixels of the image into classes, each classgrouping similar pixels in the sense of a given criteria. The segmentation of images is, in general, verydifficult to achieve because the natural images are various, complex and the way of perceiving them variesaccording to the individuals. Because of this difficulty, several approaches have been proposed. Theapproach addressed in this article is the technique of active contours. We focus on implicit active contours;we propose an improvement for the model of Chan&Vese. The application of our method on medicalimages shown they can be a tool for the image segmentation, and thus provide an aid to diagnosis for thepractitioner.","PeriodicalId":305800,"journal":{"name":"WSEAS TRANSACTIONS ON SIGNAL PROCESSING","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Active Contours with Term of Smoothing: Application in Medical Imaging\",\"authors\":\"Riad Dib\",\"doi\":\"10.37394/232014.2020.16.13\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The segmentation of images is to group the different pixels of the image into classes, each classgrouping similar pixels in the sense of a given criteria. The segmentation of images is, in general, verydifficult to achieve because the natural images are various, complex and the way of perceiving them variesaccording to the individuals. Because of this difficulty, several approaches have been proposed. Theapproach addressed in this article is the technique of active contours. We focus on implicit active contours;we propose an improvement for the model of Chan&Vese. The application of our method on medicalimages shown they can be a tool for the image segmentation, and thus provide an aid to diagnosis for thepractitioner.\",\"PeriodicalId\":305800,\"journal\":{\"name\":\"WSEAS TRANSACTIONS ON SIGNAL PROCESSING\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"WSEAS TRANSACTIONS ON SIGNAL PROCESSING\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37394/232014.2020.16.13\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"WSEAS TRANSACTIONS ON SIGNAL PROCESSING","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37394/232014.2020.16.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Active Contours with Term of Smoothing: Application in Medical Imaging
The segmentation of images is to group the different pixels of the image into classes, each classgrouping similar pixels in the sense of a given criteria. The segmentation of images is, in general, verydifficult to achieve because the natural images are various, complex and the way of perceiving them variesaccording to the individuals. Because of this difficulty, several approaches have been proposed. Theapproach addressed in this article is the technique of active contours. We focus on implicit active contours;we propose an improvement for the model of Chan&Vese. The application of our method on medicalimages shown they can be a tool for the image segmentation, and thus provide an aid to diagnosis for thepractitioner.