An image mosaic algorithm of pathological section based on feature points / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 984-986, 2010.
Artículo
en Chino
| WPRIM
| ID: wpr-230743
ABSTRACT
In this paper, an image mosaic algorithm based on feature points was proposed by making a study of the image mosaic methods and the characteristics of pathological image. Points of interest were firstly extracted by Moravec operator in this method, and the corresponding feature matches of the original images were achieved by correlation coefficient. The parameters of affine transformation were calculated by the matching feature points, and weighted average method was used to fuse images. The experimental results show that, as for the pathological image with translation and rotation, the algorithm can extract the matching feature points accurately and realize the image seamless mosaic.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Patología
/
Algoritmos
/
Procesamiento de Imagen Asistido por Computador
/
Reconocimiento de Normas Patrones Automatizadas
/
Aumento de la Imagen
/
Métodos
Tipo de estudio:
Estudio pronóstico
Idioma:
Chino
Revista:
Journal of Biomedical Engineering
Año:
2010
Tipo del documento:
Artículo
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