{"title":"A New Approach for Object Boundary Detection and Identification","authors":"Lochana Prematunge, A. Dharmarathne","doi":"10.1109/UKSim.2012.106","DOIUrl":null,"url":null,"abstract":"This paper introduces a new boundary detection technique, named rotating line scanning, which can be considered as a boundary growing methodology. Some image enhancement techniques are also introduced which were used to make it possible to work correctly. Image enhancement techniques used in this method do not include any kind of smoothing and as a result the preprocessed image remains as sharp as the original. This technique has a number of parameters that can be tuned to achieve the desired result according to the situation. Using these parameters the algorithm can detect individual objects or a system of objects at once. All the algorithms used in the research consume very less computing power by nature.","PeriodicalId":405479,"journal":{"name":"2012 UKSim 14th International Conference on Computer Modelling and Simulation","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 UKSim 14th International Conference on Computer Modelling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UKSim.2012.106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper introduces a new boundary detection technique, named rotating line scanning, which can be considered as a boundary growing methodology. Some image enhancement techniques are also introduced which were used to make it possible to work correctly. Image enhancement techniques used in this method do not include any kind of smoothing and as a result the preprocessed image remains as sharp as the original. This technique has a number of parameters that can be tuned to achieve the desired result according to the situation. Using these parameters the algorithm can detect individual objects or a system of objects at once. All the algorithms used in the research consume very less computing power by nature.