INFORMATICALT
2006
14 years 2 months ago
2006
The two major Markov Random Fields (MRF) based algorithms for image segmentation are the Simulated Annealing (SA) and Iterated Conditional Modes (ICM). In practice, compared to the...
IJCV
2006
14 years 2 months ago
2006
In this paper, we make two contributions to the field of level set based image segmentation. Firstly, we propose shape dissimilarity measures on the space of level set functions wh...
CVIU
2008
14 years 3 months ago
2008
Image segmentation is an important processing step in many image, video and computer vision applications. Extensive research has been done in creating many different approaches an...
ICIP
2007
IEEE
14 years 3 months ago
2007
IEEE
This paper presents a new statistical image segmentation algorithm, in which the texture features are modeled by Symmetric Alpha-Stable (SαS) distributions. These features are ef...
MVA
1992
14 years 4 months ago
1992
Thls paper proposes a new perceptual approach to noisy X-ray image segmentation. It consistsof the five major step :(1)Pre -segmentation, (2)Improved region growing, (3 ) Object de...
MVA
1996
14 years 4 months ago
1996
To use photographs in visual simulation such as synthesizing new images by overlapping an object in an image onto the other, physically significant regions corresponding to object...
VIP
2003
14 years 4 months ago
2003
Using different algorithms to segment different images is a quite straightforward strategy for automated image segmentation. But the difficulty of the optimal algorithm selection ...
VIP
2001
14 years 4 months ago
2001
Spiral Architecture is a relatively new and powerful approach to general purpose machine vision system. It contains very useful geometric and algebraic properties. Two algebraic o...
SPIESR
2004
14 years 4 months ago
2004
Accurate image segmentation is important for many image, video and computer vision applications. Over the last few decades, many image segmentation methods have been proposed. How...
NIPS
2004
14 years 4 months ago
2004
The standard approach to the classification of objects is to consider the examples as independent and identically distributed (iid). In many real world settings, however, this ass...