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001			1573-7683
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022			_a1573-7683
024	7		_a10.1007/10851.1573-7683 _2doi
210	1	0	_aJ Math Imaging Vis
245	1	0	_aJournal of Mathematical Imaging and Vision _h[electronic resource] / _cedited by Jean-Michel Morel.
264		1	_aNew York : _bSpringer US : _bImprint: Springer.
300			_bonline resource.
520			_aThe 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. The journal emphasizes its commitment to present coverage in these areas which span the interest of a global audience. The Editorial Board publishes manuscripts that are well-written and make a significant technical contrib ution.
650		0	_aComputer vision.
650		0	_aMathematics.
650		0	_aSignal processing.
650		0	_aMathematical physics.
650	1	4	_aComputer Vision.
650	2	4	_aApplications of Mathematics.
650	2	4	_aSignal, Speech and Image Processing.
650	2	4	_aMathematical Methods in Physics.
700	1		_aMorel, Jean-Michel. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
776	0	8	_iPrinted version: _x0924-9907
856	4	0	_uhttps://doi.org/10.1007/10851.1573-7683 _zHybrid
999			_c1280 _d1280