{"title":"一种染色体自动计数算法","authors":"Yan Wenzhong, Shen Shuqun","doi":"10.1109/ICBBE.2008.956","DOIUrl":null,"url":null,"abstract":"An automatic counting algorithm for chromosomes was presented. At the beginning, the histogram equalization, threshold segment and erode operation were used to handle the input image. Then, the label algorithm was used to sign an exclusive label to every object in the image. Based on the given qualification, the labeled noise objects were deleted. Then, the number of chromosomes contained in the objects with overlapped chromosomes was computed. The value of the label was adjusted according to the computing results. The adjusted result was just the number of the chromosomes in the image. The experiment proves that this algorithm can count the number of the chromosomes in one image automatically.","PeriodicalId":6399,"journal":{"name":"2008 2nd International Conference on Bioinformatics and Biomedical Engineering","volume":"70 1","pages":"2492-2494"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"An Automatic Counting Algorithm for Chromosomes\",\"authors\":\"Yan Wenzhong, Shen Shuqun\",\"doi\":\"10.1109/ICBBE.2008.956\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An automatic counting algorithm for chromosomes was presented. At the beginning, the histogram equalization, threshold segment and erode operation were used to handle the input image. Then, the label algorithm was used to sign an exclusive label to every object in the image. Based on the given qualification, the labeled noise objects were deleted. Then, the number of chromosomes contained in the objects with overlapped chromosomes was computed. The value of the label was adjusted according to the computing results. The adjusted result was just the number of the chromosomes in the image. The experiment proves that this algorithm can count the number of the chromosomes in one image automatically.\",\"PeriodicalId\":6399,\"journal\":{\"name\":\"2008 2nd International Conference on Bioinformatics and Biomedical Engineering\",\"volume\":\"70 1\",\"pages\":\"2492-2494\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 2nd International Conference on Bioinformatics and Biomedical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICBBE.2008.956\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 2nd International Conference on Bioinformatics and Biomedical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBBE.2008.956","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An automatic counting algorithm for chromosomes was presented. At the beginning, the histogram equalization, threshold segment and erode operation were used to handle the input image. Then, the label algorithm was used to sign an exclusive label to every object in the image. Based on the given qualification, the labeled noise objects were deleted. Then, the number of chromosomes contained in the objects with overlapped chromosomes was computed. The value of the label was adjusted according to the computing results. The adjusted result was just the number of the chromosomes in the image. The experiment proves that this algorithm can count the number of the chromosomes in one image automatically.
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