{"title":"一种计算封闭区域面积的有效方法","authors":"Yueqiu Jiang, Lei Jin, Hongwei Gao","doi":"10.1109/ICINIS.2010.156","DOIUrl":null,"url":null,"abstract":"It is a frequently encountered problem to calculate the area of target region in image processing. Based on an improved algorithm of contour extracting, a method for calculating the area of target region was advanced. First, the contour is extracted from the binary image, while note the location and type information of the contour points. Next, the area of target region is calculated by weighting summation of the contour points. Experimental results show this method is simple and easy to implement.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Effective Method for Calculating the Area of Enclosed Region\",\"authors\":\"Yueqiu Jiang, Lei Jin, Hongwei Gao\",\"doi\":\"10.1109/ICINIS.2010.156\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is a frequently encountered problem to calculate the area of target region in image processing. Based on an improved algorithm of contour extracting, a method for calculating the area of target region was advanced. First, the contour is extracted from the binary image, while note the location and type information of the contour points. Next, the area of target region is calculated by weighting summation of the contour points. Experimental results show this method is simple and easy to implement.\",\"PeriodicalId\":319379,\"journal\":{\"name\":\"2010 Third International Conference on Intelligent Networks and Intelligent Systems\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Third International Conference on Intelligent Networks and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICINIS.2010.156\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINIS.2010.156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Effective Method for Calculating the Area of Enclosed Region
It is a frequently encountered problem to calculate the area of target region in image processing. Based on an improved algorithm of contour extracting, a method for calculating the area of target region was advanced. First, the contour is extracted from the binary image, while note the location and type information of the contour points. Next, the area of target region is calculated by weighting summation of the contour points. Experimental results show this method is simple and easy to implement.