Title | Multiscale Methods for the Segmentation of Images |
Publication Type | Conference Paper |
Year of Publication | 1996 |
Authors | Schneider, M., P. Fieguth, W. C. Karl, and A. S. Willsky |
Conference Name | ICASSP '96 |
Keywords | error statistics, functional, functional equations, gradients, image segmentation, images, intensity function, minimisation, minimization, multiscale models, Segmentation, statistical formulation, variational calculus, variational techniques |
Abstract | This work presents a method for segmenting images based on gradients in the intensity function. Past approaches have centered on formulating the problem in the context of variational calculus as the minimization of a functional involving the image intensity and edge functions. Computational methods for finding the minima of such variational problems are prone to two shortfalls: they are often computationally intensive and almost always incapable of computing error statistics associated with the segmentation. Using a particular variational formulation as a starting point, this paper presents a derivation of an associated statistical formulation using multiscale models. The result is an algorithm which is fast and capable of computing error statistics |
DOI | 10.1109/ICASSP.1996.545869 |
Multiscale Methods for the Segmentation of Images
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