G. Ulaganathan, A. Banumathi, J. Amutha, A. Jeevani Selvabala
{"title":"使用带电线算法描绘牙囊肿","authors":"G. Ulaganathan, A. Banumathi, J. Amutha, A. Jeevani Selvabala","doi":"10.1109/MVIP.2012.6428777","DOIUrl":null,"url":null,"abstract":"This paper presents a segmentation algorithm for interactive delineation of various types of dental cysts using Live-wire, which is slightly modified from classical Live wire algorithm to segment dental X-ray images. The aim of this paper is to segment regions of dental cysts. It is necessary to choose suitable segmentation method because of adverse parameters of the regions. The regions of the cysts are of low contrast and the pixel intensity distribution is not homogenous, hence the semiautomatic live-wire method was chosen. Live-wire segmentation is an interactive tool for efficient, accurate boundary extraction which requires minimal user input with a mouse. This algorithm calculates the local cost [1] and then applies modified shortest path algorithm for better results. This approach to image segmentation is faster and more accurate than manual segmentation. It is very good compromise between simple manual edge tracing and automatic methods such as thresholding, watershed segmentation or other methods whose results must be post-processed.","PeriodicalId":170271,"journal":{"name":"2012 International Conference on Machine Vision and Image Processing (MVIP)","volume":"12 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Dental cyst delineation using live wire algorithm\",\"authors\":\"G. Ulaganathan, A. Banumathi, J. Amutha, A. Jeevani Selvabala\",\"doi\":\"10.1109/MVIP.2012.6428777\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a segmentation algorithm for interactive delineation of various types of dental cysts using Live-wire, which is slightly modified from classical Live wire algorithm to segment dental X-ray images. The aim of this paper is to segment regions of dental cysts. It is necessary to choose suitable segmentation method because of adverse parameters of the regions. The regions of the cysts are of low contrast and the pixel intensity distribution is not homogenous, hence the semiautomatic live-wire method was chosen. Live-wire segmentation is an interactive tool for efficient, accurate boundary extraction which requires minimal user input with a mouse. This algorithm calculates the local cost [1] and then applies modified shortest path algorithm for better results. This approach to image segmentation is faster and more accurate than manual segmentation. It is very good compromise between simple manual edge tracing and automatic methods such as thresholding, watershed segmentation or other methods whose results must be post-processed.\",\"PeriodicalId\":170271,\"journal\":{\"name\":\"2012 International Conference on Machine Vision and Image Processing (MVIP)\",\"volume\":\"12 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Machine Vision and Image Processing (MVIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MVIP.2012.6428777\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Machine Vision and Image Processing (MVIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MVIP.2012.6428777","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a segmentation algorithm for interactive delineation of various types of dental cysts using Live-wire, which is slightly modified from classical Live wire algorithm to segment dental X-ray images. The aim of this paper is to segment regions of dental cysts. It is necessary to choose suitable segmentation method because of adverse parameters of the regions. The regions of the cysts are of low contrast and the pixel intensity distribution is not homogenous, hence the semiautomatic live-wire method was chosen. Live-wire segmentation is an interactive tool for efficient, accurate boundary extraction which requires minimal user input with a mouse. This algorithm calculates the local cost [1] and then applies modified shortest path algorithm for better results. This approach to image segmentation is faster and more accurate than manual segmentation. It is very good compromise between simple manual edge tracing and automatic methods such as thresholding, watershed segmentation or other methods whose results must be post-processed.