M.Ajay Kumar, Naresh Goud, R. Sreeram, R.Gnana Prasuna
{"title":"Image Processing based on Adaptive Morphological Techniques","authors":"M.Ajay Kumar, Naresh Goud, R. Sreeram, R.Gnana Prasuna","doi":"10.1109/ICESE46178.2019.9194641","DOIUrl":null,"url":null,"abstract":"Morphological techniques are clean to value and works on effective base of set philosophy. The equitable of applying morphological techniques is to discard the defect in the design of the picture. Utmost of the technique utilized here are a sequence of two mechanisms, dilation and erosion. The technique needs a short matrix architecture called as a grouping component. The model and range of the grouping component have a powerful impact on the ultimate result. In the present paper an experiment is built to grasp the main morphological techniques by applying them on any standard picture. MATLAB program is worn as the tool for examining the morphological techniques.","PeriodicalId":137459,"journal":{"name":"2019 International Conference on Emerging Trends in Science and Engineering (ICESE)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Emerging Trends in Science and Engineering (ICESE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICESE46178.2019.9194641","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
Morphological techniques are clean to value and works on effective base of set philosophy. The equitable of applying morphological techniques is to discard the defect in the design of the picture. Utmost of the technique utilized here are a sequence of two mechanisms, dilation and erosion. The technique needs a short matrix architecture called as a grouping component. The model and range of the grouping component have a powerful impact on the ultimate result. In the present paper an experiment is built to grasp the main morphological techniques by applying them on any standard picture. MATLAB program is worn as the tool for examining the morphological techniques.