Haider Makki Hammed, Maha Abbas Hutaihit, Wasan Hashim Al Masoody
{"title":"基于最小距离的孤立均匀图像区域迭代关联","authors":"Haider Makki Hammed, Maha Abbas Hutaihit, Wasan Hashim Al Masoody","doi":"10.1109/ICATEEE57445.2022.10093100","DOIUrl":null,"url":null,"abstract":"The proposed algorithm iteratively combining isolated homogeneous regions based on the search for the minimum distance between the centers of these regions. The algorithm is works to combine isolated regions in bigger region and still combines regions until match the ending conditions of the algorithm, reached the maximum number of loops or a segment region and the minimum distance between the segments, or the number of segments. It has been established that the image size from 10000 to 250000 pixels searches the minimum distance between the segments based on the gradual increase in the search radius it provides a win in the performance of the segmentation algorithm.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Iterative Association of Isolated Homogeneous Image Regions using the Minimum Distance between Them\",\"authors\":\"Haider Makki Hammed, Maha Abbas Hutaihit, Wasan Hashim Al Masoody\",\"doi\":\"10.1109/ICATEEE57445.2022.10093100\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The proposed algorithm iteratively combining isolated homogeneous regions based on the search for the minimum distance between the centers of these regions. The algorithm is works to combine isolated regions in bigger region and still combines regions until match the ending conditions of the algorithm, reached the maximum number of loops or a segment region and the minimum distance between the segments, or the number of segments. It has been established that the image size from 10000 to 250000 pixels searches the minimum distance between the segments based on the gradual increase in the search radius it provides a win in the performance of the segmentation algorithm.\",\"PeriodicalId\":150519,\"journal\":{\"name\":\"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)\",\"volume\":\"120 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICATEEE57445.2022.10093100\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICATEEE57445.2022.10093100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Iterative Association of Isolated Homogeneous Image Regions using the Minimum Distance between Them
The proposed algorithm iteratively combining isolated homogeneous regions based on the search for the minimum distance between the centers of these regions. The algorithm is works to combine isolated regions in bigger region and still combines regions until match the ending conditions of the algorithm, reached the maximum number of loops or a segment region and the minimum distance between the segments, or the number of segments. It has been established that the image size from 10000 to 250000 pixels searches the minimum distance between the segments based on the gradual increase in the search radius it provides a win in the performance of the segmentation algorithm.