ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
We study the problem of clustering uncertain objects whose locations are described by probability density functions (pdf). We show that the UK-means algorithm, which generalises t...
ISBI
2008
IEEE
14 years 5 months ago
2008
IEEE
This paper presents a method for the segmentation of skin lesions in dermoscopy images. The proposed technique uses region based level sets and adopts a mixture of Gaussian densit...
MICCAI
2004
Springer
14 years 5 months ago
2004
Springer
We propose an original approach for the segmentation of three-dimensional fields of probability density functions. This presents a wide range of applications in medical images proc...
MICCAI
2004
Springer
14 years 5 months ago
2004
Springer
Abstract. A new 3D segmentation method based on the level set technique is proposed. The main contribution is a robust evolutionary model which requires no fine tuning of parameter...
ICIP
2006
IEEE
14 years 6 months ago
2006
IEEE
This paper presents a new diffusion scheme on statistical manifolds for the detection of texture boundaries. The technique derives from our previous work, in which 2-dimensional R...
ECCV
2006
Springer
14 years 7 months ago
2006
Springer
Abstract. This paper presents a novel approach to unsupervised texture segmentation that relies on a very general nonparametric statistical model of image neighborhoods. The method...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
CVPR
2004
IEEE
14 years 7 months ago
2004
IEEE
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
CVPR
1999
IEEE
14 years 7 months ago
1999
IEEE
A technique is presented for representing linear features as probability density functions in two or three dimensions. Three chief advantages of this approach are (1) a unified re...