DMCA
Unsupervised Contour Representation and Estimation Using B-Splines and a Minimum Description Length Criterion (2000)
| Venue: | IEEE Trans. on Image Processing |
| Citations: | 38 - 3 self |
BibTeX
@ARTICLE{Figueiredo00unsupervisedcontour,
author = {Mário A. T. Figueiredo and José M. N. Leitão and Anil K. Jain},
title = {Unsupervised Contour Representation and Estimation Using B-Splines and a Minimum Description Length Criterion},
journal = {IEEE Trans. on Image Processing},
year = {2000},
volume = {9},
pages = {1075--1087}
}
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Abstract
This paper describes a new approach to adaptive estimation of parametric deformable contours based on B-spline representations. The problem is formulated in a statistical framework with the likelihood function being derived from a region -based image model. The parameters of the image model, the contour parameters, and the B-spline parameterization order (i.e., the number of control points) are all considered unknown. The parameterization order is estimated via a minimum description length (MDL) type criterion. A deterministic iterative algorithm is developed to implement the derived contour estimation criterion. The result is an unsupervised parametric deformable contour: it adapts its degree of smoothness/complexity (number of control points) and it also estimates the observation (image) model parameters. The experiments reported in the paper, performed on synthetic and real (medical) images, confirm the adequacy and good performance of the approach.
Keyphrases
contour representation minimum description length criterion estimation using b-splines image model control point parameterization order minimum description length new approach unsupervised parametric deformable contour likelihood function b-spline representation good performance smoothness complexity model parameter b-spline parameterization order derived contour estimation criterion deterministic iterative algorithm type criterion contour parameter adaptive estimation statistical framework parametric deformable contour
