Fluorescent signal detection of chromatographic chip by algorithms of pyramid connection and Gaussian mixture model / 中国医疗器械杂志
Chinese Journal of Medical Instrumentation
;
(6): 83-86, 2011.
Artigo
em Chinês
| WPRIM
| ID: wpr-330514
ABSTRACT
We proposed a new algorithm for automatic identification of fluorescent signal. Based on the features of chromatographic chips, mathematic morphology in RGB color space was used to filter and enhance the images, pyramid connection was used to segment the areas of fluorescent signal, and then the method of Gaussian Mixture Model was used to detect the fluorescent signal. Finally we calculated the average fluorescent intensity in obtained fluorescent areas. Our results show that the algorithm has a good efficacy to segment the fluorescent areas, can detect the fluorescent signal quickly and accurately, and finally realize the quantitative detection of fluorescent signal in chromatographic chip.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Algoritmos
/
Processamento de Imagem Assistida por Computador
/
Cromatografia
/
Imunofluorescência
/
Métodos
Tipo de estudo:
Estudo diagnóstico
Idioma:
Chinês
Revista:
Chinese Journal of Medical Instrumentation
Ano de publicação:
2011
Tipo de documento:
Artigo
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