Study of color blood image segmentation based on two-stage-improved FCM algorithm / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 282-286, 2006.
Artigo
em Chinês
| WPRIM
| ID: wpr-249618
ABSTRACT
This paper introduces a new method for color blood cell image segmentation based on FCM algorithm. By transforming the original blood microscopic image to indexed image, and by doing the colormap, a fuzzy apparoach to obviating the direct clustering of image pixel values, the quantity of data processing and analysis is enormously compressed. In accordance to the inherent features of color blood cell image, the segmentation process is divided into two stages. (1)confirming the number of clusters and initial cluster centers; (2) altering the distance measuring method by the distance weighting matrix in order to improve the clustering veracity. In this way, the problem of difficult convergence of FCM algorithm is solved, the iteration time of iterative convergence is reduced, the execution time of algarithm is decreased, and the correct segmentation of the components of color blood cell image is implemented.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Algoritmos
/
Interpretação de Imagem Assistida por Computador
/
Técnicas Citológicas
/
Cor
/
Eritrócitos
/
Leucócitos
/
Métodos
Tipo de estudo:
Estudo prognóstico
Limite:
Humanos
Idioma:
Chinês
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2006
Tipo de documento:
Artigo
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