[Comp-neuro] Call for paper ---Special Issue on Image Segmentation

欢 徐 xuhuan_1984715 at yahoo.com.cn
Fri Jan 22 23:58:19 CET 2010





Tentative
Special Sessions/Workshops

2010 International Conference on Intelligent
Computing (ICIC’10) 

(http://www.ic-ic.org/2010/index.htm)


August 18-21,
2010

Changsha,
 China

2. Special Session on Recent
Advances in Image Segmentation

 

Organizers: 

Lei Zhang

Assistant Professor

Dept. of Computing,
The Hong Kong Polytechnic University

Tel: 852-27667355

Fax: 852-27740842

Email:
cslzhang at comp.polyu.edu.hk 

http://www4.comp.polyu.edu.hk/~cslzhang/

 

Xiao-Feng Wang

PhD, Research Associate

Institute of
Intelligent Machines, Chinese
 Academy of Sciences

Tel:0551-5591108

E-mail:xfwang at iim.ac.cn 

http://www.intelengine.cn/English/people/wxf.htm


 

The rapid development of image acquisition
device makes an increasing number of image data available for scientific and
industrial purpose, such as object recognition, tracking, image retrieval and
so on. Image segmentation is a fundamental and important processing step in
many of these applications. There is no comprehensive theory of image
segmentation, because the object of interest in the image is largely depended
on the application. Although extensive research has been conducted over the
last several decades, it is still difficult to find an efficient algorithm for
general purpose segmentation.  

 

The ever expanding applications of image data
demand for the higher quality of image segmentation. In recent years, new
techniques and theories have emerged in image segmentation communities. For
example, energy minimization methods represent a fundamental methodology in
computer vision, its application in image segmentation leads to several
well-known methods, such as level set, active contour, graph cuts and so on.

 

This special session provides a forum for
researchers and engineers to present and discuss the latest research results,
to summarize recent advances, and to timely identify and address emerging
problems and challenges with regard to image segmentation techniques. We invite
the submission of high-quality, original and unpublished research papers.
Methods of interest for image segmentation include but are not limited to:

l 
Discrete
and Continuous Optimization

l 
Graph
Theoretic Methods

l 
Markov
Random Fields

l 
Variational
Methods

l 
Partial
Differential Equations and Level Set Methods

l 
Statistical
Methods, Learning and Inference

l 
Region
Merging and Splitting Methods

l 
Differential
Geometry

l 
Applications
of Image Segmentation 

 

A special issue in an international journal
(SCI or EI indexed) with selected papers from this special session is being
planned.




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