G. Jothilakshmi, R. J. Christilda, A. Raaza, Y. SreenivasaVarma, V. Rajendran
{"title":"Extracting region of interest using distinct block processing method in sono-mammogram images","authors":"G. Jothilakshmi, R. J. Christilda, A. Raaza, Y. SreenivasaVarma, V. Rajendran","doi":"10.1109/ICCCSP.2017.7944091","DOIUrl":null,"url":null,"abstract":"The most leading cancers in women's are Breast Cancer nowadays, and it causes increase in the rate of mortality. So the detection of breast cancer at its early stage makes the treatments easy and increases the survival rate. In this paper, a method is proposed to find the Region of Interest(RoI) from the sonomammogram image effectively. First filtering is taken place in order to enhance the image. Second the image is binned and 3D plot of each bin is obtained. From each 3D plot of the binned image the number of peaks are determined. The combination of blocks which are having large number of peaks are identified as ROI.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCSP.2017.7944091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The most leading cancers in women's are Breast Cancer nowadays, and it causes increase in the rate of mortality. So the detection of breast cancer at its early stage makes the treatments easy and increases the survival rate. In this paper, a method is proposed to find the Region of Interest(RoI) from the sonomammogram image effectively. First filtering is taken place in order to enhance the image. Second the image is binned and 3D plot of each bin is obtained. From each 3D plot of the binned image the number of peaks are determined. The combination of blocks which are having large number of peaks are identified as ROI.