Soumen Santra, Surajit Mandal, Kunal Das, J. Bhattacharjee, Avijit Roy
{"title":"一种改进的Canny边缘检测方法用于早期检测癌细胞","authors":"Soumen Santra, Surajit Mandal, Kunal Das, J. Bhattacharjee, Avijit Roy","doi":"10.1109/IEMENTech48150.2019.8981100","DOIUrl":null,"url":null,"abstract":"Canny Edge Detection technique is considered to be one of the most efficient techniques over other edge detection techniques. However this technique has some limitations; the computation time is very high because of its complexity in processing. When applied on medical images, sometimes it detects edges which are not desired. In this communication we present an edge detection technique which may be considered as a Modified Canny Edge Detection (MCED) technique. This work is developed using MATLAB and analysis is done using medical images where we can detect the malign portions easily through the segmentation portions.","PeriodicalId":243805,"journal":{"name":"2019 3rd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A Modified Canny Edge Detection Approach to Early Detection of Cancer Cell\",\"authors\":\"Soumen Santra, Surajit Mandal, Kunal Das, J. Bhattacharjee, Avijit Roy\",\"doi\":\"10.1109/IEMENTech48150.2019.8981100\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Canny Edge Detection technique is considered to be one of the most efficient techniques over other edge detection techniques. However this technique has some limitations; the computation time is very high because of its complexity in processing. When applied on medical images, sometimes it detects edges which are not desired. In this communication we present an edge detection technique which may be considered as a Modified Canny Edge Detection (MCED) technique. This work is developed using MATLAB and analysis is done using medical images where we can detect the malign portions easily through the segmentation portions.\",\"PeriodicalId\":243805,\"journal\":{\"name\":\"2019 3rd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 3rd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMENTech48150.2019.8981100\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 3rd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMENTech48150.2019.8981100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Modified Canny Edge Detection Approach to Early Detection of Cancer Cell
Canny Edge Detection technique is considered to be one of the most efficient techniques over other edge detection techniques. However this technique has some limitations; the computation time is very high because of its complexity in processing. When applied on medical images, sometimes it detects edges which are not desired. In this communication we present an edge detection technique which may be considered as a Modified Canny Edge Detection (MCED) technique. This work is developed using MATLAB and analysis is done using medical images where we can detect the malign portions easily through the segmentation portions.