{"title":"带电法与FCM分类","authors":"W. Więcławek","doi":"10.1109/MIXDES.2006.1706687","DOIUrl":null,"url":null,"abstract":"This document describes modification of the live-wire algorithm also known as the intelligent scissors. This tool is utilized to interactive segmentation of the digitized images. Unfortunately, traditional live-wire algorithm suffers from high computational cost and is time consuming method, highly dependent on image size. Numerical complexity follows that live-wire algorithm takes all image pixels into consideration but only some pixels are situated on the edges in image. In connection with this fact in this paper condition of essential pixels is proposed. FCM algorithm utilized to classification of image pixels is proposed to describe this condition. This modification significantly shortens computational time. Obtained results will be presented based on medical images from magnetic resonance imaging (MRI) or computer tomography (CT). However this method is not limited only to medical or black and white images","PeriodicalId":318768,"journal":{"name":"Proceedings of the International Conference Mixed Design of Integrated Circuits and System, 2006. MIXDES 2006.","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Live-wire Method With FCM Classification\",\"authors\":\"W. Więcławek\",\"doi\":\"10.1109/MIXDES.2006.1706687\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This document describes modification of the live-wire algorithm also known as the intelligent scissors. This tool is utilized to interactive segmentation of the digitized images. Unfortunately, traditional live-wire algorithm suffers from high computational cost and is time consuming method, highly dependent on image size. Numerical complexity follows that live-wire algorithm takes all image pixels into consideration but only some pixels are situated on the edges in image. In connection with this fact in this paper condition of essential pixels is proposed. FCM algorithm utilized to classification of image pixels is proposed to describe this condition. This modification significantly shortens computational time. Obtained results will be presented based on medical images from magnetic resonance imaging (MRI) or computer tomography (CT). However this method is not limited only to medical or black and white images\",\"PeriodicalId\":318768,\"journal\":{\"name\":\"Proceedings of the International Conference Mixed Design of Integrated Circuits and System, 2006. MIXDES 2006.\",\"volume\":\"89 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International Conference Mixed Design of Integrated Circuits and System, 2006. MIXDES 2006.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MIXDES.2006.1706687\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference Mixed Design of Integrated Circuits and System, 2006. MIXDES 2006.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MIXDES.2006.1706687","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This document describes modification of the live-wire algorithm also known as the intelligent scissors. This tool is utilized to interactive segmentation of the digitized images. Unfortunately, traditional live-wire algorithm suffers from high computational cost and is time consuming method, highly dependent on image size. Numerical complexity follows that live-wire algorithm takes all image pixels into consideration but only some pixels are situated on the edges in image. In connection with this fact in this paper condition of essential pixels is proposed. FCM algorithm utilized to classification of image pixels is proposed to describe this condition. This modification significantly shortens computational time. Obtained results will be presented based on medical images from magnetic resonance imaging (MRI) or computer tomography (CT). However this method is not limited only to medical or black and white images
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