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Geometric Pattern Matching   Geometric Pattern Matching Library
Main Features Typical Applications
Feature point technology Presence, absence
Fully automatic, fast and robust Alignment
Rotation and scaling invariant Pick and place
High tolerance to pattern degradation Printing industry
Don't care areas
User-defined pivot point

Based on an innovative feature-point technology, EasyFind is designed to rapidly find one or more instances of a reference model in the image. Compared to classical algorithms, EasyFind features faster processing and improved robustness. Euresys' geometric pattern finder shows excellent performances when handling instances that are highly degraded due to noise, blur, occlusion, missing parts or unstable illumination conditions. With an adjustable accuracy up to sub-pixel level, EasyFind reports very precise information about the instances found, such as their location, rotation angle, scale and matching score. EasyFind supports don't care areas. This feature allows the creation of complex pattern shapes.

Fast Processing and Improved Robustness

EasyFind is based on a novel feature-point technology. Instead of comparing the reference model to the sample image pixel-wise, it carefully selects salient features in the model. This method allows EasyFind to match only the areas that convey valuable information, resulting in faster processing and much improved robustness.

EasyFind also brings a new approach to the problem of detecting insufficiently defined models in an image by proposing three selectable pattern types:

Consistent edges

This mode is used for patterns with well defined edges or to find non deformed instances. It detects instances highly degraded due to blur, noise, occlusion or varying illumination conditions.

A point by point scoring method makes this operating mode more resilient to large occlusions and/or large variations of contrast. It also globally reduces the computation time of the finding phase.

Thin structure

This mode is used to locate patterns including particularly thin structures. It is robust against blur, noise, occlusion and illumination variation.

Contrasting regions

This mode is used for patterns with poorly defined edges or patterns exhibiting noise, blur, and random texture. The contrasting regions pattern type is robust against blur, noise, illumination variation. These three pattern types allow EasyFind to maximize the accuracy and the speed of the processing, even in difficult cases.

These three pattern types allow EasyFind to maximize the accuracy and the speed of the processing, even in difficult cases.

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