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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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Position Detection

1. Pattern Recognition by Gray Processing

Greyscale pattern recognition In the case of gray processing, an image is treated as a gray scale picture of 256 tones. Unlike binarization which only recognizes black and white, gray processing uses all the information of each pixel which is divided into 256 tones and thus, the target object's pattern shape is accurately recognized.

2. Recognition of Coordinate of an Image on the CCD

Because an image projected on the CCD image pickup element is divided into the pixels of 480(height) × 512(length) as shown in the figure, the X-Y coordinate of any shape within the image is obtained within the range of 0.0 to 511,479.
Finiding co-ordinates in an image

3. Inspection examples

Robot Handling (Detection of Absolute Position)
Move the robot so that the hole of the target object matches the home position of the screen and then pin the hole.
Example set-up for inspection   Find the target pattern   Match the image to the home position


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