Your browser doesn't support javascript.
loading
Finding splitting lines for touching cell nuclei with a shortest path algorithm.
Bai, Xiangzhi; Wang, Peng; Sun, Changming; Zhang, Yu; Zhou, Fugen; Meng, Cai.
Afiliación
  • Bai X; Image Processing Center, Beijing University of Aeronautics and Astronautics, Beijing 100191, China. Electronic address: jackybxz@buaa.edu.cn.
  • Wang P; Image Processing Center, Beijing University of Aeronautics and Astronautics, Beijing 100191, China.
  • Sun C; CSIRO Computational Informatics, Locked Bag 17, North Ryde, NSW 1670, Australia.
  • Zhang Y; Image Processing Center, Beijing University of Aeronautics and Astronautics, Beijing 100191, China.
  • Zhou F; Image Processing Center, Beijing University of Aeronautics and Astronautics, Beijing 100191, China.
  • Meng C; Image Processing Center, Beijing University of Aeronautics and Astronautics, Beijing 100191, China.
Comput Biol Med ; 63: 277-86, 2015 Aug.
Article en En | MEDLINE | ID: mdl-25458811
ABSTRACT
A shortest path-based algorithm is proposed in this paper to find splitting lines for touching cell nuclei. First, an initial splitting line is obtained through the distance transform of a marker image and the watershed algorithm. The initial splitting line is then separated into different line segments as necessary, and the endpoint positions of these line segments are adjusted to the concave points on the contour. Finally, a shortest path algorithm is used to find the accurate splitting line between the starting-point and the end-point, and the final split can be achieved by the contour of the touching cell nuclei and the splitting lines. Comparisons of experimental results show that the proposed algorithm is effective for segmentation of different types of touching cell nuclei.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Procesamiento de Imagen Asistido por Computador / Núcleo Celular Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Comput Biol Med Año: 2015 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Procesamiento de Imagen Asistido por Computador / Núcleo Celular Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Comput Biol Med Año: 2015 Tipo del documento: Article
...