{"title":"光栅到矢量转换:解决地图分割应用的问题和工具","authors":"V. Lacroix","doi":"10.1109/ICAPR.2009.96","DOIUrl":null,"url":null,"abstract":"After the analysis of the problems a raster-to-vector (R2V) software can meet, a strategy involving a pre-processing, a clustering, a labeling and finally a vectorization phase is proposed. Much emphasis is put on the clustering and the labeling phases which depend on the pixel type (edge, line, or other). In particular, it is suggested to use the median-shift on all the pixels but the edgels to extract the main colors. Results are shown on scanned maps.","PeriodicalId":443926,"journal":{"name":"2009 Seventh International Conference on Advances in Pattern Recognition","volume":"194 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Raster-to-Vector Conversion: Problems and Tools Towards a Solution A Map Segmentation Application\",\"authors\":\"V. Lacroix\",\"doi\":\"10.1109/ICAPR.2009.96\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"After the analysis of the problems a raster-to-vector (R2V) software can meet, a strategy involving a pre-processing, a clustering, a labeling and finally a vectorization phase is proposed. Much emphasis is put on the clustering and the labeling phases which depend on the pixel type (edge, line, or other). In particular, it is suggested to use the median-shift on all the pixels but the edgels to extract the main colors. Results are shown on scanned maps.\",\"PeriodicalId\":443926,\"journal\":{\"name\":\"2009 Seventh International Conference on Advances in Pattern Recognition\",\"volume\":\"194 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-02-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Seventh International Conference on Advances in Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAPR.2009.96\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Seventh International Conference on Advances in Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAPR.2009.96","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Raster-to-Vector Conversion: Problems and Tools Towards a Solution A Map Segmentation Application
After the analysis of the problems a raster-to-vector (R2V) software can meet, a strategy involving a pre-processing, a clustering, a labeling and finally a vectorization phase is proposed. Much emphasis is put on the clustering and the labeling phases which depend on the pixel type (edge, line, or other). In particular, it is suggested to use the median-shift on all the pixels but the edgels to extract the main colors. Results are shown on scanned maps.