雜志介紹

Journal Of Mathematical Imaging And Vision雜志介紹

《Journal Of Mathematical Imaging And Vision》是一本以English為主的未開放獲取國際優秀期刊，中文名稱數學成像與視覺雜志，本刊主要出版、報道數學-COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為1.3，最新CiteScore 指數為4.3。

本刊近期中國學者發表的論文主要有：

• Generalized Polar Coordinate Moments with Quasi Inner Product

  Author: Yang, Jianwei; Wang, Beibei; Wang, Yuepeng

• Anisotropic Variational Models for Image Denoising Based on Directional Hessian

  Author: Yang, Guangyu; Wei, Weibo; Pan, Zhenkuan

• A Retinex-Based Selective Segmentation Model for Inhomogeneous Images

  Author: Min, Lihua; Lian, Xiaoyu; Jin, Zhengmeng; Zheng, Minling

• Nonlocal Adaptive Biharmonic Regularizer for Image Restoration

  Author: Wen, Ying; Vese, Luminita A.; Shi, Kehan; Guo, Zhichang; Sun, Jiebao

英文介紹

Journal Of Mathematical Imaging And Vision雜志英文介紹

The 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.