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Your guide to Machine Vision
Guide Topics
Machine Vision
System parts
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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Machine Vision Systems
  

Major Image Processing Methods

Binarization

The images captured by a camera are composed of black and white grayscale pictures of 256 tones. Binarization defines all tones which are brighter than a certain threshold as white and the others as black. This technique is used to detect the existence or sizes of an object by categorizing the non-detecting and detecting areas into black and white respectively by binarization.
Binarization

Edge detection

By setting the edge detection window, you can locate the section where the transition from white to black or black to white happens within the image and recognize it as an edge. This method is effective for detecting the absolute position of an edge.
Edge detection configuration   Detect window settings   Detect window settings

Recognizes the pattern of an image

The target pattern is registered and stored in a pattern window. The pattern window then scans the specified search window to detect the position that best matches the registered image.
Pattern recognition steps

More on this topic...
-> A Desktop Reference for Sensors, Vision Systems and Measuring Instruments. General Catalog
-> Advanced Optical Measurement Guide
Learn how to stabilize pattern searches.
Advanced Machine Vision
Machine Vision - Blue LED Illumination
Increases image contrast to minute color and flaw detection.
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