期刊缩写       J MATH IMAGING VIS

期刊全称       JOURNAL OF MATHEMATICAL IMAGING AND VISION 数学成像与视觉杂志

期刊ISSN      0924-9907

2012-2013最新影响因子     1.767

期刊官方网站       http://link.springer.com/journal/10851

期刊投稿网址      

通讯方式       SPRINGER, VAN GODEWIJCKSTRAAT 30, DORDRECHT, NETHERLANDS, 3311 GZ

涉及的研究方向    工程技术-计算机：人工智能

出版国家       NETHERLANDS

出版周期       Bimonthly

出版年份       1991

年文章数       63

 

 

Editor-in-Chief: Joachim Weickert

Founding Editor: Gerhard X. Ritter

ISSN: 0924-9907 (print version)

ISSN: 1573-7683 (electronic version)

Journal no. 10851

 

Description

Current developments in new image processing hardware, the advent of multisensor data fusion, and rapid advances in vision research have led to an explosive growth in the interdisciplinary field of imaging science. Emphasizing the role of mathematics as a rigorous basis for imaging science, this journal details innovative or established mathematical techniques applied to vision and imaging problems in a novel way. It also reports on new developments and problems in mathematics arising from these applications.

 

The scope of Journal of Mathematical Imaging and Vision includes:

- computational models of vision; imaging algebra and mathematical morphology

- mathematical methods in reconstruction, compactification, and coding

- filter theory

- probabilistic, statistical, geometric, topological, and fractal techniques and models in imaging science

- inverse optics

- wave theory.

This journal contains research articles, invited papers, and expository articles.

 

he Journal of Mathematical Imaging and Vision is a technical journal publishing important new developments in mathematical imaging. The journal publishes research articles invited papers and expository articles. Current developments in new image processing hardware the advent of multisensor data fusion and rapid advances in vision research have led to an explosive growth in the interdisciplinary field of imaging science. This growth has resulted in the development of highly sophisticated mathematical models and theories. The journal emphasizes the role of mathematics as a rigorous basis for imaging science. This provides a sound alternative to present journals in this area. Contributions are judged on the basis of mathematical content. Articles may be physically speculative but need to be mathematically sound. Emphasis is placed on innovative or established mathematical techniques applied to vision and imaging problems in a novel way as well as new developments and problems in mathematics arising from these applications.

 

The scope of the journal includes: computational models of vision; imaging algebra and mathematical morphology mathematical methods in reconstruction compactification and coding filter theory probabilistic statistical geometric topological and fractal techniques and models in imaging science inverse optics wave theory. Specific application areas of interest include but are not limited to: all aspects of image formation and representation medical biological industrial geophysical astronomical and military imaging image analysis and image understanding parallel and distributed computing computer vision architecture design. The journal emphasizes its commitment to present coverage in these areas which span the interest of a global audience. The Editorial Board publishes manuscripts that are wellwritten and make a significant technical contribution.