Document Processing

AIKON enables targeted processing of document sets using computer vision algorithms. Users select documents, configure treatments, and review results through dedicated interfaces.

Launching Treatments

Treatments represent tasks applied to document sets. AIKON handles three types of processes:

Once the document set is constituted or loaded into selection, users can access the treatment form and choose which algorithms to apply to the selected documents.

Treatment form screenshot

Track treatment status in the treatment list interface. Processing time depends on document count and algorithm complexity.

Available treatments

Detect and localize visual components in document digitization

Compute scores to find visually related regions across documents

Decompose diagram images into editable geometrical shapes

Region Extraction Results

After region extraction, navigate to a witness to view detected regions. Two views are available:

Click on the eye icon to open a modal allowing close examination of the region and its context in the original page image.

Editing Regions

AIKON provides tools to correct automated detections:

Region extraction validation screenshot

Similarity Results

The similarity interface displays ranked matches for each region. Researchers can classify correspondences to build validated networks.

Similarity interface screenshot

Annotation Levels

Match Propagation

Annotated matches enable propagation: if A matches B and B matches C, then A and C form a propagated similarity. This helps reveal annotation inconsistencies and discover new connections.

Filtering and Comparison

Use the toolbar to filter results by score, witness, and similarity level. The detailed view (eye button) allows overlaying images for precise comparison.

Similarity comparison modal

Vectorization

Visualize geometric shapes extracted from diagram images overlayed on the original image. Each vectorization can be downloaded as an SVG file for further editing in vector graphics software.

Vectorization view screenshot