Automatic identification of mycobacterium tuberculosis with conventional light microscopy
This article presents an automatic identification method of mycobacterium tuberculosis with conventional microscopy images based on Red and Green color channels using global adaptive threshold segmentation. Differing from fluorescence microscopy, in the conventional microscopy the bacilli are not ea...
| Autor principal: | Costa, Marly Guimarães Fernandes |
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| Outros Autores: | Costa Filho, Cícero Ferreira Fernandes, Sena, Juliana F., Salem, Júlia Ignez, Lima, Mari O. de |
| Grau: | Trabalho Apresentado em Evento |
| Idioma: | English |
| Publicado em: |
Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"
2020
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| Acesso em linha: |
https://repositorio.inpa.gov.br/handle/1/19999 |
| Resumo: |
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This article presents an automatic identification method of mycobacterium tuberculosis with conventional microscopy images based on Red and Green color channels using global adaptive threshold segmentation. Differing from fluorescence microscopy, in the conventional microscopy the bacilli are not easily distinguished from the background. The key to the bacilli segmentation method employed in this work is the use of Red minus Green (R-G) images from RGB color format. In this image, the bacilli appear as white regions on a dark background. Some artifacts are present in the (R-G) segmented image. To remove them we used morphological, color and size filters. The best sensitivity achieved was about 76.65%. The main contribution of this work was the proposal of the first automatic identification method of tuberculosis bacilli for conventional light microscopy. © 2008 IEEE. |