{"title":"基于膜计算的多模态图像配准算法","authors":"Zhilv Gao, Chengfang Zhang","doi":"10.1109/CIIS.2017.46","DOIUrl":null,"url":null,"abstract":"In order to realize the rapid and exact image registration, a multi-modal image registration algorithm under the framework of membrane computing is proposed in this paper, which is named as MCIR algorithm. First, a cell-like P system of membrane structure is designed. Each object in membranes represents a group of transform parameters of floated images. All objects are constantly evolved by the group intelligent algorithm, which obtains the best parameters and transforms them into upper-layer membrane. At the same time, the best objects between the same layers transport randomly in the process of evolution. Finally, the global optimal object is stored in the skin membrane. The proposed MCIR algorithm is evaluated on the multi-modal image, such as the computer tomography (CT) images of the brain, the visible images, and the thermal infrared images. Our algorithm is superior to other methods in terms of properties of global convergence and obtains better registration accuracy and robustness.","PeriodicalId":254342,"journal":{"name":"2017 International Conference on Computing Intelligence and Information System (CIIS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"MCIR: A Multi-modal Image Registration Algorithm Based on Membrane Computing\",\"authors\":\"Zhilv Gao, Chengfang Zhang\",\"doi\":\"10.1109/CIIS.2017.46\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to realize the rapid and exact image registration, a multi-modal image registration algorithm under the framework of membrane computing is proposed in this paper, which is named as MCIR algorithm. First, a cell-like P system of membrane structure is designed. Each object in membranes represents a group of transform parameters of floated images. All objects are constantly evolved by the group intelligent algorithm, which obtains the best parameters and transforms them into upper-layer membrane. At the same time, the best objects between the same layers transport randomly in the process of evolution. Finally, the global optimal object is stored in the skin membrane. The proposed MCIR algorithm is evaluated on the multi-modal image, such as the computer tomography (CT) images of the brain, the visible images, and the thermal infrared images. Our algorithm is superior to other methods in terms of properties of global convergence and obtains better registration accuracy and robustness.\",\"PeriodicalId\":254342,\"journal\":{\"name\":\"2017 International Conference on Computing Intelligence and Information System (CIIS)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Computing Intelligence and Information System (CIIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIIS.2017.46\",\"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 Computing Intelligence and Information System (CIIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIIS.2017.46","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MCIR: A Multi-modal Image Registration Algorithm Based on Membrane Computing
In order to realize the rapid and exact image registration, a multi-modal image registration algorithm under the framework of membrane computing is proposed in this paper, which is named as MCIR algorithm. First, a cell-like P system of membrane structure is designed. Each object in membranes represents a group of transform parameters of floated images. All objects are constantly evolved by the group intelligent algorithm, which obtains the best parameters and transforms them into upper-layer membrane. At the same time, the best objects between the same layers transport randomly in the process of evolution. Finally, the global optimal object is stored in the skin membrane. The proposed MCIR algorithm is evaluated on the multi-modal image, such as the computer tomography (CT) images of the brain, the visible images, and the thermal infrared images. Our algorithm is superior to other methods in terms of properties of global convergence and obtains better registration accuracy and robustness.