Machine Vision and Applications Journal Call for Papers

Special Issue - Integrated Imaging and Vision
Techniques for Industrial Inspection

Papers that advance the theories of multi-modal imaging, data fusion,
and vision techniques or tackle challenges in practical applications
are invited. In addition to conventional vision technologies, imaging
modalities of interest include X-ray, Terahertz imaging, and
ultrasonic testing. The contributions should be original an must not
have been presented and/or published (or currently under
consideration) in any other form.

Topics include (but are not limited to) the following:
? Automated defect identification and classification with multi-modal imaging techniques;
? Multi-sensor image fusion for inspection;
? Multi-modal vision system design and implementation;
? Precise measurements with 3D vision and multi-modal geometry reconstruction;
? Registration of multi-modal inspection data;
? Multi-camera system and array for inspection;
? Multi-spectrum imaging and analysis;
? Visualization of multi-modal nondestructive inspection data;
? 3D volumetric image processing;
? Other applications.

Machine Vision and Applications accepts high-quality technical
contributions which are within its aims and scope in both long and
short paper formats. Long papers may not be over 30 manuscript pages
in length (12 point type, double-spaced, 5 cm margins (2 inch) on one
side of the paper only) including figures, references,
acknowledgments, footnotes, tables, and captions. All papers should be
written in English. Further guidelines can be viewed at
http://www.springerlink.com/content/100522/.

Deadline for submission: December 31, 2008

Submitting Your Manuscript

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Machine Vision and Applications publishes high-quality technical
contributions in machine vision research and
development. Specifically, the editors encourage submittal 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.