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.
目前,新的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发展,导致了成像科学跨学科领域的爆炸性增长。强调数学作为成像科学的严格基础的作用,这本杂志以一种新颖的方式详述了应用于视觉和成像问题的创新或已建立的数学技术。它还报告了这些应用在数学方面的新发展和问题。数学成像与视觉杂志的范围包括:-视觉的计算模型;成像代数和数学形态学-重建、紧化和编码的数学方法-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-波理论。这本杂志包含研究文章,邀请论文和说明性文章。
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