Grundium has been issued a US patent for image stitching, recognizing the Ocus®’ high-accuracy in imaging.

We propose a novel method for image stitching that is robust against repetitive patterns and featureless regions in the imaginary.

In such cases, typical image stitching methods easily produce stitching artefacts, since they may produce false pairwise image registrations that are in conflict within the global connectivity graph. By contrast, our method collects all the plausible pairwise image registration candidates, among which globally consistent candidates are chosen. This enables the method to determine the correct pairwise registrations by utilizing all the available information from the whole imaginary, such as unambiguous registrations outside the repeating pattern and featureless regions. We formalize the method as a weighted multigraph whose nodes represent the individual image transformations from the composite image, and whose sets of multiple edges between two nodes represent all the plausible transformations between the pixel coordinates of the two images. The edge weights represent the plausibility of the transformations. The image transformations and the edge weights are solved from a non-linear minimization problem with linear constraints, for which a projection method is used. As an example, we apply the method in a scanning application where the transformations are primarily translations with only slight rotation and scaling component.

Here’s the substance:

About Grundium

Grundium is a global leader in advanced imaging technology. Established in 2015 by ex-Nokia engineers, the Tampere-based company is democratising digital pathology with the Ocus whole slide imaging microscope scanner. The cutting-edge imaging solutions are based on over 20 years of experience in optics, sensors and processing. Grundium serves various industries and businesses enhancing quality and processes, protecting human life and safeguarding a clean environment.
The Grundium team has always come through as helpful, reliable and very nice to work with.
— W. Scott Rombach

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