Journal Of Mathematical Imaging And Vision

杂志介绍

Journal Of Mathematical Imaging And Vision杂志介绍

《Journal Of Mathematical Imaging And Vision》是一本以English为主的未开放获取国际优秀期刊，中文名称数学成像与视觉杂志，本刊主要出版、报道数学-COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为1.3，最新CiteScore 指数为4.3。

本刊近期中国学者发表的论文主要有：

• 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

英文介绍

Journal Of Mathematical Imaging And Vision杂志英文介绍

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.