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Your guide to Machine Vision
Guide Topics
Machine Vision Systems
Machine Vision Selection Guide
Machine Vision Systems Overview
Image Processing Principles
Inspection Functions
Area Judgment by Binarization
Position Detection
Dimension Measurement
Additional Image Functions
Overview
Ultra-High-Speed Vision Systems
Built-in-Monitor Vision Systems
Vision Techniques
Lighting Techniques
Information About Lenses
Image Processing Techniques
Examples of Technique Application
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Machine Vision Systems
  

Area Judgment by Binarization

1. Determine the binary level which divides an image into either white or black

Every picture element can be found in the 256 gradation sequence. By setting the threshold at some part of the gradation sequence, a picture element is categorized into either white or black according to the brightness. This is called binarization and the threshold is called the binary level.
Raw image   Greyscaled image   Binarized image

2. Determine the inspection area with the test window

Setting the inspection window The area mode allows the user to set a window on the screen in order to detect the existence or size of the pertinent pixels within the window and the dimensions of the inspection area. Determining the "pertinent pixels in the window" is called binarization.

3. Inspection examples

Detection of missing items during packing process
Because the device captures the entire image of the container and allows the user to set multiple test windows on the image, any missing item at any position can be detected.
Set-up for visual inspection   Non-defective product   Defective product


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-> Advanced technology that meets the high demands of today's vision inspections. Advanced technology that meets the high demands of today's vision inspections.
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