Watershed-based segmentation of histiocytic images / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 1151-1156, 2005.
Artigo
em Chinês
| WPRIM
| ID: wpr-309934
ABSTRACT
The task of segmenting histiocyte is a crucial step in the analysis of histiocytic images which is an important application of computer vision to histopathology. The algorithm presented in this article was composed of two steps:
(1) the morph-based preprocessing; (2) the ameliorated watershed method. In the first step, the difference between histiocytes was magnified in order to increase the visibility from the view of the computer vision, and then the ameliorated terrace-flooding-simulated watershed method was used to achieve the segmentation of histiocytic images in the second step. To test the performance of the algorithm, different samples of visual quality were tested and the result figures proved successful.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Algoritmos
/
Processamento de Imagem Assistida por Computador
/
Análise Numérica Assistida por Computador
/
Células da Medula Óssea
/
Reconhecimento Automatizado de Padrão
/
Cartilagem
/
Técnicas de Preparação Histocitológica
/
Biologia Celular
/
Métodos
Limite:
Humanos
Idioma:
Chinês
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2005
Tipo de documento:
Artigo
Similares
MEDLINE
...
LILACS
LIS