- Install
- Basic operation
- Basics of programming for electronic work
- Basics of programming for Excel
- Machine learning with scikit-learn
- Visualizing data with matplotlib
- Web programming
- RPA programming
- Miscellaneous programming
- Reference
- "Basic" group
- ”Basic I/O" group
- ”PWM Output" group
- "Servo Motor" group
- ”Motor" group
- ”Display" group
- ”Sensor" group
- "Micro controller" group
- "Excel" group
- "scikit-learn" group
- "matplotlib" group
- "Web" group
- "File" group
- "Image" group
- "Basic" group
- "Filter" group
- Overview
- Usage of each block
- "Turtle" group
- "Speech" group
Usage of each block
Apply built-in filter
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Apply a built-in filter (BLUR, CONTOUR, DETAIL, EDGE_ENHANCE, EMBOSS, FIND_EDGES, SHARPEN, SMOOTH, etc.) to an image and return a new image object ID.
Apply BoxBlur
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Apply a BoxBlur filter to an image and return a new image object ID.
A larger radius results in a stronger blur effect.
Apply GaussianBlur
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Apply a GaussianBlur filter to an image and return a new image object ID.
A larger radius results in a stronger blur effect.
Apply UnsharpMask
Apply an UnsharpMask filter to an image and return a new image object ID.
Adjust the degree of sharpening using radius, percentage, and threshold.
Apply RankFilter
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Apply a RankFilter to an image and return a new image object ID.
Pixel values within a window of the specified size are sorted, and the value at the specified rank is selected.
Apply MedianFilter
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Apply a MedianFilter to an image and return a new image object ID.
Effective for noise reduction.
Apply MinFilter
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Apply a MinFilter to an image and return a new image object ID.
The minimum pixel value within a window of the specified size is selected.
Apply MaxFilter
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Apply a MaxFilter to an image and return a new image object ID.
The maximum pixel value within a window of the specified size is selected.
Apply ModeFilter
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Apply a ModeFilter to an image and return a new image object ID.
The most frequent pixel value within a window of the specified size is selected.