K. Jindal, Kriti Gupta, Manan Jain, Manmohan Maheshwari
{"title":"Bio-medical image enhancement based on spatial domain technique","authors":"K. Jindal, Kriti Gupta, Manan Jain, Manmohan Maheshwari","doi":"10.1109/ICAETR.2014.7012932","DOIUrl":null,"url":null,"abstract":"This paper presents a new technique of bio-medical image enhancement that ameliorates the subjective quality of medical images. In this paper, spatial domain technique is used with an eclectic strategy for enhancing the image which comprises of methods like edge detection, smoothing, power law transform and high-boost filter. This technique is analyzed on dark medical images and the result is verified by comparing the entropy at different gamma values, further it can also be verified by human visualization. The result presented in this paper demonstrates that the application of spatial domain technique on a dark medical image yields a better quality, which makes it suitable for pre-processing of medical image applications.","PeriodicalId":196504,"journal":{"name":"2014 International Conference on Advances in Engineering & Technology Research (ICAETR - 2014)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Advances in Engineering & Technology Research (ICAETR - 2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAETR.2014.7012932","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
This paper presents a new technique of bio-medical image enhancement that ameliorates the subjective quality of medical images. In this paper, spatial domain technique is used with an eclectic strategy for enhancing the image which comprises of methods like edge detection, smoothing, power law transform and high-boost filter. This technique is analyzed on dark medical images and the result is verified by comparing the entropy at different gamma values, further it can also be verified by human visualization. The result presented in this paper demonstrates that the application of spatial domain technique on a dark medical image yields a better quality, which makes it suitable for pre-processing of medical image applications.