{"title":"一种新的基于蚁群信息素预测的多相邻细胞跟踪方法","authors":"Mingli Lu, Benlian Xu, Peiyi Zhu, Jian Shi, Jihong Zhu","doi":"10.1109/ICCAIS.2017.8217599","DOIUrl":null,"url":null,"abstract":"In this paper, we proposed a novel ant algorithm based on pheromone prediction for multiple adjacent cell tracking. In order to improve the efficacy and reduce the computing time of our proposed algorithm, evolution of pheromone fields is achieved based on pheromone prediction mechanism. Along with a detailed description of our algorithms, many simulation results are reported on. The results suggest that our algorithm can automatically and accurately track numerous cells in real cell image sequences, and obtain favorable performance compared with other methods.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A novel multiple adjacent cell tracking approach based on pheromone prediction of ant colony\",\"authors\":\"Mingli Lu, Benlian Xu, Peiyi Zhu, Jian Shi, Jihong Zhu\",\"doi\":\"10.1109/ICCAIS.2017.8217599\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we proposed a novel ant algorithm based on pheromone prediction for multiple adjacent cell tracking. In order to improve the efficacy and reduce the computing time of our proposed algorithm, evolution of pheromone fields is achieved based on pheromone prediction mechanism. Along with a detailed description of our algorithms, many simulation results are reported on. The results suggest that our algorithm can automatically and accurately track numerous cells in real cell image sequences, and obtain favorable performance compared with other methods.\",\"PeriodicalId\":410094,\"journal\":{\"name\":\"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)\",\"volume\":\"81 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCAIS.2017.8217599\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAIS.2017.8217599","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel multiple adjacent cell tracking approach based on pheromone prediction of ant colony
In this paper, we proposed a novel ant algorithm based on pheromone prediction for multiple adjacent cell tracking. In order to improve the efficacy and reduce the computing time of our proposed algorithm, evolution of pheromone fields is achieved based on pheromone prediction mechanism. Along with a detailed description of our algorithms, many simulation results are reported on. The results suggest that our algorithm can automatically and accurately track numerous cells in real cell image sequences, and obtain favorable performance compared with other methods.