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Your guide to Machine Vision
Guide Topics
Machine Vision
System parts
Machine Vision Systems
Vision Techniques
Major Illumination Types
Illumination Intensity
Illumination Basics
Specific Lighting Techniques
Polarizing Filters
Lens Basics
Lens Selection
Lens Characteristics
Major Image Processing Methods
Grayscale Edge Detection
Normalized Correlation Search
Binarization Stabilization Technique
Binarization Application Examples
Labeling
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Coated Glossy Surface, Engraved Mark Inspection
Detection of Scratches and Chips on a Low Contrast Surface
Detection of the Dimensions and Shape of Transparent Objects
Detection of Concave and Convex, Print on Curved Surface, and Contamination
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Normalized Correlation Search

Tips for Effective Use

The Pattern Position tool, which utilizes a type of processing called Normalized Correlation, can be used to locate a pattern on a target image that best matches the specified reference pattern from the registered "master" image. This tool enables the detection of position, rotation and match percentage (known as correlation value) of an object.
Effective Use of Pattern and Search Windows
1. The pattern window should be set with an area of more distinct contrast, where no other similarly-shaped objects exist.
Avoid areas with low contrast or features for which rotation can't be detected
2. Since a large search window will prolong the processing time, the window should be set to the minimum size needed.

Use a small search window

Judgment by Correlation Value

Advantages of Using Correlation Value for Presence/Absence Detection
Pattern Position is a mode used to detect the positional coordinates of an object by using normalized correlation. It can also be used for presence check or shape detection by using correlation values. For example, to inspect print, the pattern window can be configured by setting the normal date as the template, as shown in the figure below. If any print is missing or smudged, the correlation value decreases and the item in question is
judged to be defective. Detection by binarization (CV: area mode by Keyence)
is also available, although detection using correlation values is preferable for the following reasons.

Using correlation values for pattern matching
Advantages
1. Normalized correlation search is unaffected by changes in ambient light intensity.
2. Even if the position or angle changes, the object can be steadily tracked.

Correlation value matching examples



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