{"title":"针叶树光显微图像中细胞档案的自动识别","authors":"Pol Kennel, G. Subsol, M. Gueroult, P. Borianne","doi":"10.1109/IPTA.2010.5586800","DOIUrl":null,"url":null,"abstract":"In this paper, we present an automatic method to recognize cell files in light microscopic images of conifer wood. This original method is composed of three steps: the segmentation step which extracts some anatomical structures from the image (based on the watershed algorithm), the classification step which identifies the interesting cells in these structures (by using CART method), and the cell files recognition step. Some preliminary results obtained on several species of conifers are presented and analyzed.","PeriodicalId":236574,"journal":{"name":"2010 2nd International Conference on Image Processing Theory, Tools and Applications","volume":"119 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Automatic identification of cell files in light microscopic images of conifer wood\",\"authors\":\"Pol Kennel, G. Subsol, M. Gueroult, P. Borianne\",\"doi\":\"10.1109/IPTA.2010.5586800\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present an automatic method to recognize cell files in light microscopic images of conifer wood. This original method is composed of three steps: the segmentation step which extracts some anatomical structures from the image (based on the watershed algorithm), the classification step which identifies the interesting cells in these structures (by using CART method), and the cell files recognition step. Some preliminary results obtained on several species of conifers are presented and analyzed.\",\"PeriodicalId\":236574,\"journal\":{\"name\":\"2010 2nd International Conference on Image Processing Theory, Tools and Applications\",\"volume\":\"119 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Conference on Image Processing Theory, Tools and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPTA.2010.5586800\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Conference on Image Processing Theory, Tools and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPTA.2010.5586800","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic identification of cell files in light microscopic images of conifer wood
In this paper, we present an automatic method to recognize cell files in light microscopic images of conifer wood. This original method is composed of three steps: the segmentation step which extracts some anatomical structures from the image (based on the watershed algorithm), the classification step which identifies the interesting cells in these structures (by using CART method), and the cell files recognition step. Some preliminary results obtained on several species of conifers are presented and analyzed.
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