Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/48814
Campo DC | Valor | idioma |
---|---|---|
dc.contributor.author | Sharma, Akhilesh | en_US |
dc.contributor.author | Dutta, Malay Kishore | en_US |
dc.contributor.author | Singh, Anushikha | en_US |
dc.contributor.author | Parthasarathi, M. | en_US |
dc.contributor.author | Travieso, Carlos M. | en_US |
dc.date.accessioned | 2018-11-24T01:10:22Z | - |
dc.date.available | 2018-11-24T01:10:22Z | - |
dc.date.issued | 2014 | en_US |
dc.identifier.isbn | 9781479951734 | en_US |
dc.identifier.uri | http://hdl.handle.net/10553/48814 | - |
dc.description.abstract | The paper proposes a dynamic thresholding based image processing technique for the detection of hemorrhages in retinal images. The algorithm uses the information about color and size of hemorrhages as a tool for classifying hemorrhages from other dark lesions present in the retinal images. The algorithm uses the concepts of contrast enhancement, background estimation and intensity variation at edges that is gradient magnitude information supported by some morphological operations. The algorithm follows a simple approach of step by step removal of unwanted features from targeted images using concepts of thresholding and morphology without compromising with accuracy and time of execution. The experimental results indicate that hemorrhages are detected with good accuracy in the retinal images. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | 2014 7th International Conference on Contemporary Computing, IC3 2014 | en_US |
dc.source | 2014 7th International Conference on Contemporary Computing, IC3 2014 (6897158), p. 113-116 | en_US |
dc.subject | 3314 Tecnología médica | en_US |
dc.subject.other | Medical image processing | en_US |
dc.subject.other | Fundus image | en_US |
dc.subject.other | Diabetic Retinopathy | en_US |
dc.subject.other | Hemorrhages | en_US |
dc.subject.other | Thresholding | en_US |
dc.subject.other | Binarization | en_US |
dc.title | Dynamic thresholding technique for detection of hemorrhages in retinal images | en_US |
dc.type | info:eu-repo/semantics/conferenceObject | en_US |
dc.type | ConferenceObject | en_US |
dc.relation.conference | 2014 7th International Conference on Contemporary Computing, IC3 2014 | en_US |
dc.identifier.doi | 10.1109/IC3.2014.6897158 | en_US |
dc.identifier.scopus | 84908622581 | - |
dc.contributor.authorscopusid | 57199494681 | - |
dc.contributor.authorscopusid | 35291803600 | - |
dc.contributor.authorscopusid | 55885045200 | - |
dc.contributor.authorscopusid | 56405511700 | - |
dc.contributor.authorscopusid | 6602376272 | - |
dc.description.lastpage | 116 | en_US |
dc.identifier.issue | 6897158 | - |
dc.description.firstpage | 113 | en_US |
dc.type2 | Actas de congresos | en_US |
dc.utils.revision | Sí | en_US |
dc.date.coverdate | Enero 2014 | en_US |
dc.identifier.conferenceid | events121531 | - |
dc.identifier.ulpgc | Sí | es |
item.grantfulltext | none | - |
item.fulltext | Sin texto completo | - |
crisitem.author.dept | GIR IDeTIC: División de Procesado Digital de Señales | - |
crisitem.author.dept | IU para el Desarrollo Tecnológico y la Innovación | - |
crisitem.author.dept | Departamento de Señales y Comunicaciones | - |
crisitem.author.orcid | 0000-0002-4621-2768 | - |
crisitem.author.parentorg | IU para el Desarrollo Tecnológico y la Innovación | - |
crisitem.author.fullName | Travieso González, Carlos Manuel | - |
crisitem.event.eventsstartdate | 07-08-2014 | - |
crisitem.event.eventsenddate | 09-08-2014 | - |
Colección: | Actas de congresos |
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