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Machine Vision and Applications
Mach Vis Appl

ISSN (printed): 0932-8092. ISSN (electronic): 1432-1769.

Machine Vision and Applications publishes high-quality technical contributions in machine vision research and development. Specifically the editors encourage submittals in all applications and engineering aspects of image-related computing. In particular original contributions dealing with scientific commercial industrial military and biomedical applications of machine vision are all within the scope of the journal. Particular emphasis is placed on engineering and technology aspects of image processing and computer vision. The following aspects of machine vision applications are of interest: algorithms architectures VLSI implementations AI techniques and expert systems for machine vision front-end sensing multidimensional and multisensor machine vision real-time techniques image databases virtual reality and visualization. Papers must include a significant experimental validation component.

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