{"title":"基于线性结构元素的皮肤图像边缘检测","authors":"Sudhriti Sengupta, Neetu Mittal, Megha Modi","doi":"10.1109/ICRITO.2018.8748610","DOIUrl":null,"url":null,"abstract":"Skin lesions are the abnormal portion in the skin. These abnormalities are generally due to different color, texture or shape. Skin lesions are indicators of some disease or precursor of diseases. Automated skin lesion analysis will help the medical practitioners for timely and correct diagnosis and treatment of the disease. In this paper, effective edge detection for skin lesion detection is proposed. Dilation of a linear structure of specific dimension is used for enhancing the edges of the skin lesions. This results in better segmentation of the dermascopic image.","PeriodicalId":439047,"journal":{"name":"2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Edge Detection in Dermascopic Images by Linear Structuring Element\",\"authors\":\"Sudhriti Sengupta, Neetu Mittal, Megha Modi\",\"doi\":\"10.1109/ICRITO.2018.8748610\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Skin lesions are the abnormal portion in the skin. These abnormalities are generally due to different color, texture or shape. Skin lesions are indicators of some disease or precursor of diseases. Automated skin lesion analysis will help the medical practitioners for timely and correct diagnosis and treatment of the disease. In this paper, effective edge detection for skin lesion detection is proposed. Dilation of a linear structure of specific dimension is used for enhancing the edges of the skin lesions. This results in better segmentation of the dermascopic image.\",\"PeriodicalId\":439047,\"journal\":{\"name\":\"2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)\",\"volume\":\"106 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRITO.2018.8748610\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRITO.2018.8748610","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Edge Detection in Dermascopic Images by Linear Structuring Element
Skin lesions are the abnormal portion in the skin. These abnormalities are generally due to different color, texture or shape. Skin lesions are indicators of some disease or precursor of diseases. Automated skin lesion analysis will help the medical practitioners for timely and correct diagnosis and treatment of the disease. In this paper, effective edge detection for skin lesion detection is proposed. Dilation of a linear structure of specific dimension is used for enhancing the edges of the skin lesions. This results in better segmentation of the dermascopic image.