{"title":"图像分割中的参数化元胞自动机","authors":"A. Andreica, L. Dioşan, I. Voiculescu","doi":"10.1109/SYNASC.2016.040","DOIUrl":null,"url":null,"abstract":"This paper investigates a novel update rule formulti–state Cellular Automata (CA) in the context of greyscaleimage segmentation. The update rule is parameterized and takesinto account the features of neighbouring cells compared to thefeatures of the current cell. We use the resulting CA to segmentseveral real–world images. During this process we also studythe influence of the rule parameters and neighbourhood schemeusing different evaluation measures.","PeriodicalId":268635,"journal":{"name":"2016 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)","volume":"66 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Parameterized Cellular Automata in Image Segmentation\",\"authors\":\"A. Andreica, L. Dioşan, I. Voiculescu\",\"doi\":\"10.1109/SYNASC.2016.040\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates a novel update rule formulti–state Cellular Automata (CA) in the context of greyscaleimage segmentation. The update rule is parameterized and takesinto account the features of neighbouring cells compared to thefeatures of the current cell. We use the resulting CA to segmentseveral real–world images. During this process we also studythe influence of the rule parameters and neighbourhood schemeusing different evaluation measures.\",\"PeriodicalId\":268635,\"journal\":{\"name\":\"2016 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)\",\"volume\":\"66 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SYNASC.2016.040\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYNASC.2016.040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parameterized Cellular Automata in Image Segmentation
This paper investigates a novel update rule formulti–state Cellular Automata (CA) in the context of greyscaleimage segmentation. The update rule is parameterized and takesinto account the features of neighbouring cells compared to thefeatures of the current cell. We use the resulting CA to segmentseveral real–world images. During this process we also studythe influence of the rule parameters and neighbourhood schemeusing different evaluation measures.
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