The problem of segmentation by several images is considered for fragments of a scene containing a given object and its neighborhood. To solve this problem, generalizations of the well-known methods of quantiles and modes are proposed that are constructed on the concept of random distance. The results of computer experiments on the segmentation of model and quasireal scenes by the methods proposed are compared. © 2008 Pleiades Publishing, Ltd
Abstract. The purpose of image segmentation is to partition the pixel grid of an image into connecte...
We present a novel statistical and variational approach to image segmentation based on a new algorit...
This paper advocates the use of multi-coloured polygonal Markov fields for model-based image segment...
The problem of segmentation by several images is considered for fragments of a scene containing a gi...
In this paper, a new method for the segmentation of natural images is proposed. Original images g(x,...
This paper addresses the problem of segmenting a signal or an image into homogeneous regions across ...
. Nowdays image processing is facing many challengig questions. Often these problems have natural fo...
Image segmentation is a central topic in image processing and computer vision and a key issue in man...
CETTE THESE TRAITE DE L'UTILISATION DES TRANSFORMATIONS LINEAIRES POUR LA REPRESENTATION, LA QUANTIF...
In this paper we present some extensions to the k-means algorithm for vector quantization that per...
This talk deals with free discontinuity problems related to image segmentation, focussing on the mat...
AbstractWe apply the theory of metric-divergences between probability distributions and a variationa...
This paper presents a multiple resolution algorithm for segmenting images into regions with differin...
We introduce a functional for image segmentation which takes into account the occlusions between obj...
Whether for purposes of compression efficiency, image editing, interactive multimedia authoring, or ...
Abstract. The purpose of image segmentation is to partition the pixel grid of an image into connecte...
We present a novel statistical and variational approach to image segmentation based on a new algorit...
This paper advocates the use of multi-coloured polygonal Markov fields for model-based image segment...
The problem of segmentation by several images is considered for fragments of a scene containing a gi...
In this paper, a new method for the segmentation of natural images is proposed. Original images g(x,...
This paper addresses the problem of segmenting a signal or an image into homogeneous regions across ...
. Nowdays image processing is facing many challengig questions. Often these problems have natural fo...
Image segmentation is a central topic in image processing and computer vision and a key issue in man...
CETTE THESE TRAITE DE L'UTILISATION DES TRANSFORMATIONS LINEAIRES POUR LA REPRESENTATION, LA QUANTIF...
In this paper we present some extensions to the k-means algorithm for vector quantization that per...
This talk deals with free discontinuity problems related to image segmentation, focussing on the mat...
AbstractWe apply the theory of metric-divergences between probability distributions and a variationa...
This paper presents a multiple resolution algorithm for segmenting images into regions with differin...
We introduce a functional for image segmentation which takes into account the occlusions between obj...
Whether for purposes of compression efficiency, image editing, interactive multimedia authoring, or ...
Abstract. The purpose of image segmentation is to partition the pixel grid of an image into connecte...
We present a novel statistical and variational approach to image segmentation based on a new algorit...
This paper advocates the use of multi-coloured polygonal Markov fields for model-based image segment...