Amit R. Chavan, A. R. Shastri, R. Shastri, S. Deosarkar
{"title":"利用图像处理技术对冷冻精液吸管进行计数","authors":"Amit R. Chavan, A. R. Shastri, R. Shastri, S. Deosarkar","doi":"10.1109/ICACC.2013.44","DOIUrl":null,"url":null,"abstract":"The proposed work is to verify the count of the semen straws which are kept in a compact bunch by using image processing techniques. These straws are kept in liquid nitrogen for the straw content preservation purpose. Due to the liquid nitrogen characteristics and safety requirements for both semen straws as well as workers working in such an environment, a non-harming, rapid process for straw counting is required. So, straw counting using image processing algorithm is carried out. The counting problem is solved by using several image enhancement, image segmentation and object counting techniques. For the problem solving, many traditional methods like contrast stretching, thresholding, morphological processing as well as advanced methods like color based information removal and image enhancement using intensity factor are used.","PeriodicalId":109537,"journal":{"name":"2013 Third International Conference on Advances in Computing and Communications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Counting of Frozen Semen Straws Using Image Processing\",\"authors\":\"Amit R. Chavan, A. R. Shastri, R. Shastri, S. Deosarkar\",\"doi\":\"10.1109/ICACC.2013.44\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The proposed work is to verify the count of the semen straws which are kept in a compact bunch by using image processing techniques. These straws are kept in liquid nitrogen for the straw content preservation purpose. Due to the liquid nitrogen characteristics and safety requirements for both semen straws as well as workers working in such an environment, a non-harming, rapid process for straw counting is required. So, straw counting using image processing algorithm is carried out. The counting problem is solved by using several image enhancement, image segmentation and object counting techniques. For the problem solving, many traditional methods like contrast stretching, thresholding, morphological processing as well as advanced methods like color based information removal and image enhancement using intensity factor are used.\",\"PeriodicalId\":109537,\"journal\":{\"name\":\"2013 Third International Conference on Advances in Computing and Communications\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Third International Conference on Advances in Computing and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACC.2013.44\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Third International Conference on Advances in Computing and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACC.2013.44","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Counting of Frozen Semen Straws Using Image Processing
The proposed work is to verify the count of the semen straws which are kept in a compact bunch by using image processing techniques. These straws are kept in liquid nitrogen for the straw content preservation purpose. Due to the liquid nitrogen characteristics and safety requirements for both semen straws as well as workers working in such an environment, a non-harming, rapid process for straw counting is required. So, straw counting using image processing algorithm is carried out. The counting problem is solved by using several image enhancement, image segmentation and object counting techniques. For the problem solving, many traditional methods like contrast stretching, thresholding, morphological processing as well as advanced methods like color based information removal and image enhancement using intensity factor are used.