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Creates a monochromatic image by summing the values of the input image channels.
Name | Type | Description | |
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inImage | Image | Input image |
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inRoi | Region* | Range of pixels to be processed |
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outImage | Image | output mono image |
Description
This operation sums values of the given inImage image channels to obtain a monochromatic image.
Examples
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Image with one channel on the input of the filter (on the left) doesn't affect the image - see the image on the right. |
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Input RGB image (on the left) converted to single-channel image (on the right) with pixel values obtained from summing values of input image channels. For example, if a pixel from input image in each R, G and B channel has values {255, 0, 0}, corresponding pixel in the output image will have value {255} (because 255 + 0 + 0 = 255). |
Hardware Acceleration
This operation is optimized for AVX2 technology for pixels of types: 2xUINT8, 3xUINT8, 4xUINT8, 2xUINT16, 3xUINT16, 4xUINT16.
This operation is optimized for SSSE3 technology for pixels of types: 2xUINT8, 3xUINT8, 4xUINT8, 2xUINT16, 3xUINT16, 4xUINT16.
This operation supports automatic parallelization for multicore and multiprocessor systems.
Complexity Level
This filter is available on Basic Complexity Level.
See Also
- AddChannels_Saturation – Creates a monochromatic image by summing the values of the input image channels with saturation.
- AverageChannels – Creates a monochromatic image by averaging the input image channels.
- AverageChannels_Weighted – Creates a monochromatic image from weighted averages of the input image channels.