Generate edge and texture images using shape from shading.
CCS Computational Imaging
Machine vision illumination solutions for multi-shot imaging
Computational Imaging (CI) refers to digital image capture and processing techniques that combine computation and optical encoding. Relying on data extracted and computed from a series of input images captured under different lighting or optical conditions, CI can improve the capability of a camera or introduce new features not previously possible.
By creating an output image focused on the image properties most important to a particular machine vision task, CI offers powerful advantages over traditional one-shot imaging.
Unlike traditional image acquisition, which often requires substantial post-capture image processing, CI – with its targeted feature extraction – directly outputs the image you need, allowing for more robust MV solutions. Better or previously impossible images for machine vision systems can be created in a cost effective way.
Create images with higher contrast ratios.
Create higher resolution colour images with no interpolation artefacts.
Improve measurements without losing light or reducing magnification.
Combine the advantages of two well-known lighting techniques.
Enhance images with maximum contrast from multiple spectral bands.
Panoramic imaging with singly triggered, multiple scene acquisition.