{"title":"拟南芥叶片细胞壁细胞检测的新方法","authors":"M. Forero, Sammy A. Perdomo, M. Quimbaya","doi":"10.1109/STSIVA.2016.7743348","DOIUrl":null,"url":null,"abstract":"A new image processing method for cell detection in leaves of Arabidopsis thaliana is presented. Using complementary image processing techniques, we introduce a good way to obtain the original cell contour shapes, surpassing the limitations given by factors like noise, stomata, blurred edges, and non-uniform illumination. Preliminary results show this process minimizes considerably the time of cell detection in comparison with the traditional biology methods that include a tedious freehand path, and produces matching percentages of true borders over 80%. Experimental results are shown.","PeriodicalId":373420,"journal":{"name":"2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"New method for wall cells detection in Arabidopsis thaliana leaves\",\"authors\":\"M. Forero, Sammy A. Perdomo, M. Quimbaya\",\"doi\":\"10.1109/STSIVA.2016.7743348\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new image processing method for cell detection in leaves of Arabidopsis thaliana is presented. Using complementary image processing techniques, we introduce a good way to obtain the original cell contour shapes, surpassing the limitations given by factors like noise, stomata, blurred edges, and non-uniform illumination. Preliminary results show this process minimizes considerably the time of cell detection in comparison with the traditional biology methods that include a tedious freehand path, and produces matching percentages of true borders over 80%. Experimental results are shown.\",\"PeriodicalId\":373420,\"journal\":{\"name\":\"2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA)\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/STSIVA.2016.7743348\",\"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 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STSIVA.2016.7743348","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
New method for wall cells detection in Arabidopsis thaliana leaves
A new image processing method for cell detection in leaves of Arabidopsis thaliana is presented. Using complementary image processing techniques, we introduce a good way to obtain the original cell contour shapes, surpassing the limitations given by factors like noise, stomata, blurred edges, and non-uniform illumination. Preliminary results show this process minimizes considerably the time of cell detection in comparison with the traditional biology methods that include a tedious freehand path, and produces matching percentages of true borders over 80%. Experimental results are shown.