101 search results - page 2 / 21 » Fuzzy image segmentation of generic shaped clusters |
ICIAR
2009
Springer
2009
Springer
Interactive Image Segmentation Based on Hierarchical Graph-Cut Optimization with Generic Shape Prior
13 years 12 months ago
Abstract. A new algorithm for interactive image segmentation is proposed. Besides the traditional appearance and gradient information, a new Generic Shape Prior (GSP) knowledge whi...
FLAIRS
2008
13 years 7 months ago
2008
This paper presents a strategy for shape-based image retrieval in which moment invariants form a feature vector to describe the shape of an object. Fuzzy k-means clustering is use...
PR
2007
13 years 4 months ago
2007
— Fuzzy c-means (FCM) algorithms with spatial constraints (FCM_S) have been proven effective for image segmentation. However, they still have the following disadvantages: 1) Alth...
MICCAI
2009
Springer
14 years 6 months ago
2009
Springer
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
ICPR
2000
IEEE
13 years 9 months ago
2000
IEEE
Fuzzy C-means (FCM) clustering is an unsupervised clustering technique and is often used for the unsupervised segmentation of multivariate images. The segmentation of the image in...