[Insight-users] Call for paper -- Special Issue on Image Segmentation

[xuhuan]

*Tentative** Special Sessions**/Workshops***

2010 International Conference on Intelligent Computing (ICIC’10)
(http://www.ic-ic.org/2010/index.htm <http://www.ic-ic.org/2008/>)
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 <mailto:cslzhang at comp.polyu.edu.hk>

http://www4.comp.polyu.edu.hk/~cslzhang/ 
<http://www4.comp.polyu.edu.hk/%7Ecslzhang/>

Xiao-Feng Wang

PhD, Research Associate

Institute of Intelligent Machines, Chinese Academy of Sciences

Tel：0551-5591108

E-mail：xfwang at iim.ac.cn <mailto: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submission of high-quality, original and unpublished research papers.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.