JOURNAL OF MATHEMATICAL IMAGING AND VISION（数学成像与视觉杂志）影响因子_期刊投稿发表

期刊简介

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 morphologymathematical methods in reconstruction, compactification, and codingfilter theoryprobabilistic, statistical, geometric, topological, and fractal techniques and models in imaging scienceinverse opticswave theory.Specific application areas of interest include, but are not limited to:all aspects of image formation and representationmedical, biological, industrial, geophysical, astronomical and military imagingimage analysis and image understandingparallel and distributed computingcomputer vision architecture design.

《数学成像与视觉杂志》是一本发表数学成像重要新进展的技术期刊。该杂志发表研究论文、特邀论文和说明性文章。新图像处理硬件的最新发展、多传感器数据融合的出现以及视觉研究的快速发展导致了成像科学这一跨学科领域的爆炸性增长。这种增长导致了高度复杂的数学模型和理论的发展。该杂志强调数学作为成像科学严格基础的作用。这提供了一个健全的替代目前的期刊在这方面。贡献是根据数学内容来判断的。文章可能是物理投机，但需要在数学上健全。重点放在创新或建立数学技术应用于视觉和成像问题的新方法，以及新的发展和数学问题，从这些应用中产生。成像代数和数学形态学重建、紧致化和编码中的数学方法滤波器理论成像科学中的概率、统计、几何、拓扑和分形技术和模型逆光波理论。感兴趣的具体应用领域包括但不限于：图像形成和表示的所有方面医学、生物、工业、地球物理、天文和军事成像图像分析和图像理解并行和分布式计算计算机视觉体系结构设计。

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