A Novel Color Reduction Based Image Segmentation Technique For Detection Of Cancerous Region in Breast Thermograms

dc.creatorHabibi, Amin
dc.creatorShamsi, Mousa
dc.date2015-12-19
dc.date.accessioned2023-09-27T19:28:31Z
dc.date.available2023-09-27T19:28:31Z
dc.identifierhttps://periodicos.ufsm.br/cienciaenatura/article/view/20799
dc.identifier10.5902/2179460X20799
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8938759
dc.descriptionSegmentation of an image into its components plays an important role in most of the image processing applications. In this article an important application of image processing in determination of Breast Cancer is studied, and A Novel Image Segmentation Technique is proposed in order to determine Cancer in Breast Thermograms. First, this image is converted from RGB to color space HSV. Then Breast shape is extracted by ACM algorithm. Finally, the image has segmented using Color Reduction Based algorithm. Experimental results on the acquired images show Accuracy of the proposed algorithm on the acquired images is over 90% for healthy pixels and defected ones.en-US
dc.formatapplication/pdf
dc.languagepor
dc.publisherUniversidade Federal de Santa Mariaen-US
dc.relationhttps://periodicos.ufsm.br/cienciaenatura/article/view/20799/pdf
dc.sourceCiência e Natura; Vol. 37 (2015): SPECIAL EDITION - PART 2; 380-387en-US
dc.sourceCiência e Natura; v. 37 (2015): EDIÇÃO ESPECIAL – PART 2; 380-387pt-BR
dc.source2179-460X
dc.source0100-8307
dc.titleA Novel Color Reduction Based Image Segmentation Technique For Detection Of Cancerous Region in Breast Thermogramsen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


Este ítem pertenece a la siguiente institución