{"title":"基于MATLAB环境的图像分割技术综述","authors":"Awf Abdulrahman, Serkan Varol","doi":"10.1109/ISDFS49300.2020.9116191","DOIUrl":null,"url":null,"abstract":"Image segmentation is of great importance in understanding and analysing objects within images. The process involves dividing vague images into meaningful and useful ones by segmenting them and subsequently evaluating them based on colour density. This process is used in the medical, cultural and industrial fields, among others. There are many functions used in image segmentation, including edge and threshold functions. This paper will review these techniques, provide examples, and illustrate the types of applicable images.","PeriodicalId":221494,"journal":{"name":"2020 8th International Symposium on Digital Forensics and Security (ISDFS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"A Review of Image Segmentation Using MATLAB Environment\",\"authors\":\"Awf Abdulrahman, Serkan Varol\",\"doi\":\"10.1109/ISDFS49300.2020.9116191\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Image segmentation is of great importance in understanding and analysing objects within images. The process involves dividing vague images into meaningful and useful ones by segmenting them and subsequently evaluating them based on colour density. This process is used in the medical, cultural and industrial fields, among others. There are many functions used in image segmentation, including edge and threshold functions. This paper will review these techniques, provide examples, and illustrate the types of applicable images.\",\"PeriodicalId\":221494,\"journal\":{\"name\":\"2020 8th International Symposium on Digital Forensics and Security (ISDFS)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 8th International Symposium on Digital Forensics and Security (ISDFS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISDFS49300.2020.9116191\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 8th International Symposium on Digital Forensics and Security (ISDFS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISDFS49300.2020.9116191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Review of Image Segmentation Using MATLAB Environment
Image segmentation is of great importance in understanding and analysing objects within images. The process involves dividing vague images into meaningful and useful ones by segmenting them and subsequently evaluating them based on colour density. This process is used in the medical, cultural and industrial fields, among others. There are many functions used in image segmentation, including edge and threshold functions. This paper will review these techniques, provide examples, and illustrate the types of applicable images.
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