{"title":"Automated silkworm eggs count","authors":"Sanaha S. Pathan, A. Harale","doi":"10.1109/ICAECCT.2016.7942551","DOIUrl":null,"url":null,"abstract":"Counting the number of objects from an image is an essential part of image processing. Detecting the number of objects from an image is useful for further analysis in global application. Producing and counting silkworm eggs is very complicated process and requires large man power also extra time will be required so to reduce man power and efforts that required for counting silkworm eggs a method automated silkworm eggs count is useful. Convential method is by using calculator and manually which is erroneous and also waste of time. In this paper, we introduced method for automatically counting the number of silkworm eggs from an image. The objective of proposed method is detecting an eggs portion for counting and eliminating non egg portion from silkworm DFL sheet. We presented image segmentation technique for detecting egg portion, area based thresholding for removing small noise and barriers. Number of objects can be calculated by using object counting functions present in MATLAB.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"1 1","pages":"33-37"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAECCT.2016.7942551","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Counting the number of objects from an image is an essential part of image processing. Detecting the number of objects from an image is useful for further analysis in global application. Producing and counting silkworm eggs is very complicated process and requires large man power also extra time will be required so to reduce man power and efforts that required for counting silkworm eggs a method automated silkworm eggs count is useful. Convential method is by using calculator and manually which is erroneous and also waste of time. In this paper, we introduced method for automatically counting the number of silkworm eggs from an image. The objective of proposed method is detecting an eggs portion for counting and eliminating non egg portion from silkworm DFL sheet. We presented image segmentation technique for detecting egg portion, area based thresholding for removing small noise and barriers. Number of objects can be calculated by using object counting functions present in MATLAB.