A Novel Color Reduction Based Image Segmentation Technique For Detection Of Cancerous Region in Breast Thermograms
Fuente:
Redalyc
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Artículo científico |
| Lenguaje: | en |
| Publicado: |
Universidade Federal de Santa Maria
2015
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1876472846256963584 |
|---|---|
| author | Amin Habibi |
| author_facet | Amin Habibi |
| contents | A Novel Color Reduction Based Image Segmentation Technique For Detection Of Cancerous Region in Breast Thermograms Amin Habibi Mousa Shamsi Estudios Ambientales Color Space Breast Cancer Neural Networks Image Segmentation Breast Thermograms Segmentation of an image into its components plays an important role in most of the image processing applications. In this article an im portant 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 an d defected ones. 2015 artículo científico 0100-8307 https://www.redalyc.org/articulo.oa?id=467547683050 en http://www.redalyc.org/revista.oa?id=4675 Ciência e Natura application/pdf Universidade Federal de Santa Maria Ciência e Natura (Brasil) Num.6-2 Vol.37 |
| format | Artículo científico |
| id | redalyc_467547683050 |
| institution | Redalyc |
| language | en |
| publishDate | 2015 |
| publisher | Universidade Federal de Santa Maria |
| spellingShingle | A Novel Color Reduction Based Image Segmentation Technique For Detection Of Cancerous Region in Breast Thermograms Amin Habibi Estudios Ambientales Color Space Breast Cancer Neural Networks Image Segmentation Breast Thermograms A Novel Color Reduction Based Image Segmentation Technique For Detection Of Cancerous Region in Breast Thermograms Amin Habibi Mousa Shamsi Estudios Ambientales Color Space Breast Cancer Neural Networks Image Segmentation Breast Thermograms Segmentation of an image into its components plays an important role in most of the image processing applications. In this article an im portant 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 an d defected ones. 2015 artículo científico 0100-8307 https://www.redalyc.org/articulo.oa?id=467547683050 en http://www.redalyc.org/revista.oa?id=4675 Ciência e Natura application/pdf Universidade Federal de Santa Maria Ciência e Natura (Brasil) Num.6-2 Vol.37 |
| title | A Novel Color Reduction Based Image Segmentation Technique For Detection Of Cancerous Region in Breast Thermograms |
| topic | Estudios Ambientales Color Space Breast Cancer Neural Networks Image Segmentation Breast Thermograms |
| url | https://www.redalyc.org/articulo.oa?id=467547683050 |