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Based on a feature point technology, EasyFind is designed to find one or more occurrences of a given pattern in a larger image, featuring fast processing and improved robustness compared to classical algorithms. EasyFind has a high tolerance to pattern degradation due to noise, blur, occlusion, missing parts, varying illumination conditions.

With an adjustable accuracy up to sub-pixel level, EasyFind provides a very precise alignment, rotation and scaling invariant. It supports don't care areas. This feature allows creating complex pattern shapes.

EasyFind is easily integrated into any application, requiring no knowledge of machine vision concepts.

 

Feature-point-based means that EasyFind, instead of comparing the pattern to the sample image pixel-wise, carefully selects salient features in the pattern, so that it only matches the areas that convey information. This allows faster processing and improves robustness.

  • subpixel- accuracy
  • rotation invariant
  • size invariant
  • don't care areas
  • robust against pattern distortions
To locate a 150x150 pixels contrasted pattern, EasyFind achieves following performances:
Translation 3-sigma static repeatability: 1/75th of a pixel
Linearity: 1/30th of a pixel
EasyFind Image
Rotation 3-sigma static repeatability: insignificant
Linearity: 1/4 degree
Scaling 3-sigma static repeatability: insignificant
Linearity: 1/2 percent
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