Journal of Mathematical Imaging and Vision

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.

【译文】《数学图像与视觉杂志》是一本技术期刊，发表数学图像领域的重要新进展。该期刊发表研究文章、特邀论文和评述文章。新图像处理硬件的发展、多传感器数据融合的出现以及视觉研究的快速进步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。该期刊强调数学作为成像科学严格基础的作用。这为该领域现有的期刊提供了一个可靠的替代方案。贡献的评判基于数学内容。文章可能是物理推测性的，但需要在数学上合理。重点在于创新或成熟的数学技术以新颖的方式应用于视觉和成像问题，以及由此应用产生的新数学发展和问题。该期刊的范围包括：视觉计算模型；成像代数和数学形态学；重建、紧化和编码中的数学方法；滤波理论；成像科学中的概率、统计、几何、拓扑和分形技术和模型；逆光学；波动理论。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；计算机视觉架构设计。