{"title":"肺轮廓检测的灰度中值","authors":"Prashant A. Athavale, P. Puttaswamy","doi":"10.1109/ERECT.2015.7499031","DOIUrl":null,"url":null,"abstract":"In this paper we discuss about the implementation of Active Shape Model based contour detection algorithm on the digital x-rays of lungs. The effect of considering the mean values while forming the gray level profiles is shown and a modified method where median values improve the result is also presented.","PeriodicalId":140556,"journal":{"name":"2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Median values of gray levels for detection of lung contours\",\"authors\":\"Prashant A. Athavale, P. Puttaswamy\",\"doi\":\"10.1109/ERECT.2015.7499031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we discuss about the implementation of Active Shape Model based contour detection algorithm on the digital x-rays of lungs. The effect of considering the mean values while forming the gray level profiles is shown and a modified method where median values improve the result is also presented.\",\"PeriodicalId\":140556,\"journal\":{\"name\":\"2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ERECT.2015.7499031\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ERECT.2015.7499031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Median values of gray levels for detection of lung contours
In this paper we discuss about the implementation of Active Shape Model based contour detection algorithm on the digital x-rays of lungs. The effect of considering the mean values while forming the gray level profiles is shown and a modified method where median values improve the result is also presented.