{"title":"基于图像识别的作物种子数量估计","authors":"Lian Pengfei, Meng Qi, Zhang Weihong","doi":"10.1109/COMCOMAP.2014.7017204","DOIUrl":null,"url":null,"abstract":"Edge detection and segmentation of binary image are used in estimation of the number of several kinds of crop seeds. An available method of segmentation of background and foreground is proposed. To solve the problem of oversegmentation, an improved watershed algorithm to the crop seeds image with the edge information is proposed. Experiments indicate that the method not only overcomes over-segmentation, but improves the precision of segmentation. Besides, area algorithm is appended to correct count number, which improves the accuracy of count number.","PeriodicalId":422906,"journal":{"name":"2014 IEEE Computers, Communications and IT Applications Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Estimation of the number of crop seeds based on image identification\",\"authors\":\"Lian Pengfei, Meng Qi, Zhang Weihong\",\"doi\":\"10.1109/COMCOMAP.2014.7017204\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Edge detection and segmentation of binary image are used in estimation of the number of several kinds of crop seeds. An available method of segmentation of background and foreground is proposed. To solve the problem of oversegmentation, an improved watershed algorithm to the crop seeds image with the edge information is proposed. Experiments indicate that the method not only overcomes over-segmentation, but improves the precision of segmentation. Besides, area algorithm is appended to correct count number, which improves the accuracy of count number.\",\"PeriodicalId\":422906,\"journal\":{\"name\":\"2014 IEEE Computers, Communications and IT Applications Conference\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Computers, Communications and IT Applications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMCOMAP.2014.7017204\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Computers, Communications and IT Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMCOMAP.2014.7017204","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimation of the number of crop seeds based on image identification
Edge detection and segmentation of binary image are used in estimation of the number of several kinds of crop seeds. An available method of segmentation of background and foreground is proposed. To solve the problem of oversegmentation, an improved watershed algorithm to the crop seeds image with the edge information is proposed. Experiments indicate that the method not only overcomes over-segmentation, but improves the precision of segmentation. Besides, area algorithm is appended to correct count number, which improves the accuracy of count number.