Snakes based tracking and texture analysis of microscopic images
Contribuinte(s) |
Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial Robótica y Visión Tridimensional (RoViT) Laboratorio de Investigación en Visión Móvil (MVRLab) Informática Industrial e Inteligencia Artificial |
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Data(s) |
11/07/2012
11/07/2012
01/04/1997
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Resumo |
Comunicación presentada en el VII Symposium Nacional de Reconocimiento de Formas y Análisis de Imágenes, SNRFAI, Barcelona, abril 1997. Snake based tracking over a textured potential is applied to recover the 3D structure of a complex organ, the eye, from a sequence of slices. Grey level images are first analysed by a probabilistic method to derive a suitable potential. Then, the snake is initialised by hand and, finally, its energy function is minimised. Temporal discontinuity problems due to the nature of the images (microscopic slices tinted and taken by hand) are solved. |
Identificador | |
Idioma(s) |
eng |
Direitos |
info:eu-repo/semantics/openAccess |
Palavras-Chave | #Snakes #Tracking #Texture analysis #Microscopic images #Ciencia de la Computación e Inteligencia Artificial |
Tipo |
info:eu-repo/semantics/conferenceObject |