{"title":"基于HSV色彩空间的动态像素聚合技术的道路标志识别","authors":"S. Vitabile, G. Pollaccia, G. Pilato, F. Sorbello","doi":"10.1109/ICIAP.2001.957071","DOIUrl":null,"url":null,"abstract":"We present a system for the whole road sign detection and recognition task. Road sign regions are detected and extracted from real-world scenes on the basis of their color and shape features. Color segmentation is performed introducing a dynamic threshold in the pixel aggregation process on the HSV color space. The dynamic threshold allows the reduction of hue instability in real scenes depending on external brightness variation. Experimental results, using real road images in different environment conditions, are also reported.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"128","resultStr":"{\"title\":\"Road signs recognition using a dynamic pixel aggregation technique in the HSV color space\",\"authors\":\"S. Vitabile, G. Pollaccia, G. Pilato, F. Sorbello\",\"doi\":\"10.1109/ICIAP.2001.957071\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a system for the whole road sign detection and recognition task. Road sign regions are detected and extracted from real-world scenes on the basis of their color and shape features. Color segmentation is performed introducing a dynamic threshold in the pixel aggregation process on the HSV color space. The dynamic threshold allows the reduction of hue instability in real scenes depending on external brightness variation. Experimental results, using real road images in different environment conditions, are also reported.\",\"PeriodicalId\":365627,\"journal\":{\"name\":\"Proceedings 11th International Conference on Image Analysis and Processing\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"128\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 11th International Conference on Image Analysis and Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIAP.2001.957071\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 11th International Conference on Image Analysis and Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIAP.2001.957071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Road signs recognition using a dynamic pixel aggregation technique in the HSV color space
We present a system for the whole road sign detection and recognition task. Road sign regions are detected and extracted from real-world scenes on the basis of their color and shape features. Color segmentation is performed introducing a dynamic threshold in the pixel aggregation process on the HSV color space. The dynamic threshold allows the reduction of hue instability in real scenes depending on external brightness variation. Experimental results, using real road images in different environment conditions, are also reported.