Snakes based tracking and texture analysis of microscopic images


Autoria(s): Sabuco, Isabel; Escolano Ruiz, Francisco; Cazorla, Miguel; Gallardo López, Domingo; Rizo Aldeguer, Ramón
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

Data(s)

11/07/2012

11/07/2012

01/04/1997

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

http://hdl.handle.net/10045/23384

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