Snakes based tracking and texture analysis of microscopic images

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Title: Snakes based tracking and texture analysis of microscopic images
Authors: Sabuco, Isabel | Escolano, Francisco | Cazorla, Miguel | Gallardo López, Domingo | Rizo, Ramón
Research Group/s: Robótica y Visión Tridimensional (RoViT) | Laboratorio de Investigación en Visión Móvil (MVRLab) | Informática Industrial e Inteligencia Artificial
Center, Department or Service: Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial
Keywords: Snakes | Tracking | Texture analysis | Microscopic images
Knowledge Area: Ciencia de la Computación e Inteligencia Artificial
Issue Date: Apr-1997
Abstract: 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.
Description: Comunicación presentada en el VII Symposium Nacional de Reconocimiento de Formas y Análisis de Imágenes, SNRFAI, Barcelona, abril 1997.
URI: http://hdl.handle.net/10045/23384
Language: eng
Type: info:eu-repo/semantics/conferenceObject
Peer Review: si
Appears in Collections:INV - i3a - Comunicaciones a Congresos, Conferencias, etc.
INV - RoViT - Comunicaciones a Congresos, Conferencias, etc.

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