Título:
Automatic object detection using shape information in ultrasound images
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Autor:
Cancela, Pablo
Reyes, Fernando
Rodríguez, Pablo
Randall, Gregory
Fernández, Alicia
Reyes, Fernando
Rodríguez, Pablo
Randall, Gregory
Fernández, Alicia
Tutor:
Tipo de documento:
Preprint
Editor:
Palabras clave:
Ultrasonic imaging
Image segmentation
Image segmentation
Descriptores:
PROCESAMIENTO de SEÑALES
Año de publicación:
2003
Contenido:
Resumen:
A method is presented for segmentation of anatomical structures that incorporates prior information about shape. The method iteratively applies steps, which find object's border considering its properties independently from shape. The boundary is regularized taking in account the shape being extracted. Detection is not directly performed in the image but in a "shape space" referred to the shape in each step. The problem is reduced to work in this new coordinate system where the border is approximately a horizontal line. Shape information is introduced through a higher dimensional map similar to a distance map of a mean shape. Segmentation results are demonstrated on ultrasound imagery to measure meat quality of bovine and ovine livestock.
Descripción:
Trabajo presentado en International Conference on Image Processing, Barcelona, Spain, 2003.
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Citación:
Cancela, P, Reyes, F, Rodríguez, P, Randall, G, Fernández, A. Automatic object detection using shape information in ultrasound images [Preprint] Publicado en Proceedings of the 2003 International Conference on Image Processing. Doi 10.1109/ICIP.2003.1247270
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Departamento académico:
Procesamiento de Señales
Grupo de investigación:
Tratamiento de Imágenes
Licencia:
Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND)
Colecciones:
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| automatic_detection_ultrasound_cr.pdf | — | 2.03 MB | Adobe PDF |