A use case - rapid GPU-based image segmentation

Intogral Limited harnesses cutting-edge research into image analysis and processing algorithms, enabling real-time solutions with unprecedented accuracy to problems that otherwise can be only poorly approximated and/or require huge computational time. With many of our customers relying heavily on automation and high-throughput, both speed and accuracy are essential.


  • Chris G. Willcocks, P. T. Jackson, C. J. Nelson, A. Nasrulloh, and B. Obara, Interactive GPU Active Contours for Segmenting Inhomogeneous Objects, Journal of Real-time Image Processing, Dec. 2017, ISSN: 1861-8200, DOI: 10.1007/s11554-017-0740-1.
  • A. V. Nasrulloh, C. G. Willcocks, P. T. G. Jackson, C. Geenen, M. S. Habib, D. H. W. Steel, and B. Obara, Multi-scale Segmentation and Surface Fitting for Measuring 3D Macular Holes,IEEE Transactions on Medical Imaging, vol. PP, no. 99, PP. 1–1, 2017, ISSN: 0278-0062. DOI: 10.1109/TMI.2017.2767908.