Sciweavers

Share
ICPR
2000
IEEE

Probabilistic Saliency Approach for Elongated Structure Detection Using Deformable Models

8 years 11 months ago
Probabilistic Saliency Approach for Elongated Structure Detection Using Deformable Models
In this paper we address the object recognition problem in a probabilistic framework to detect and describe object appearance through image features organized by means of active contour models. We consider the formulation of saliency in terms of visual similarity embedded in the probabilistic principal component analysis framework. A likelihood of object structure detection is obtained using the relation between the visual field and the internal object representation. Deformable models are employed introducing a computational methodology for a perceptual organisation of image features as an abstract understanding of the integration between structure and constraints of the visual information-processing problem. Concrete application of the integrated approach for vessels segmentation in angiography is considered and the results are encouraging.
Xavier Orriols, Ricardo Toledo, Xavier Binefa, Pet
Added 31 Jul 2010
Updated 31 Jul 2010
Type Conference
Year 2000
Where ICPR
Authors Xavier Orriols, Ricardo Toledo, Xavier Binefa, Petia Radeva, Jordi Vitrià, Juan José Villanueva
Comments (0)
books