Getting more from the pixel: the multisensorial camera for industrial image processing

Robert Charles Massen

doi:10.1117/12.248564

21 August 1996 Getting more from the pixel: the multisensorial camera for industrial image processing

Robert Charles Massen

Proceedings Volume 2786, Vision Systems: Applications; (1996) https://doi.org/10.1117/12.248564
Event: Lasers, Optics, and Vision for Productivity in Manufacturing I, 1996, Besancon, France

Abstract

Segmentation of an image often suffers from the lack of information contained in every pixel. The multisensorial camera produces for every pixel not a scalar attribute, but a complete feature vector with many, preferably uncorrelated components. We show how a 'color and height' line scan camera can be designed which generates a feature vector (intensity, hue, saturation, height) for every pixel at resolutions of typically 2048 pixels along the line of scan and with scanning frequencies up to several kHz. The processing of such a vectorial image starts with a LUT- based, trainable pixel classifier who transforms the vectorial image into a stack of binary class label images. This significant data reduction results in only little information loss and leads to further processing based on well-established binary image processing techniques.

Citation Download Citation

Robert Charles Massen "Getting more from the pixel: the multisensorial camera for industrial image processing", Proc. SPIE 2786, Vision Systems: Applications, (21 August 1996); https://doi.org/10.1117/12.248564

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