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MinimumImage

Module:	FoundationLite

Creates an image from the lower pixel values of each corresponding pair.

Name	Type	Description
inImage1	Image	First input image
inImage2	Image	Second input image
inRoi	Region *	Range of pixels to be processed
outImage	Image	Output image

Description

The operation computes the minimum of two images. Each outImage pixel is equal to the darker of the corresponding pixels of the input images.

In multichannel (color) images each pixel channel is processed separately.

The operation requires that the images being processed have equal format and dimensions, otherwise an error with appropriate description occurs. To obtain an image of desired dimensions one can use ResizeImage or CropImage filter. To alter the pixel type of an image one can use ConvertPixelType filter. ConvertToMultichannel and AverageChannels filters allow to alter the number of image channels.

Examples

Description of usage of this filter can be found in examples and tutorial: Pattern Cutting.

MinimumImage performed on the sample images.

Hardware Acceleration

This operation is optimized for SSE2 technology for pixels of types: UINT8, SINT16, REAL.

This operation is optimized for SSE4.1 technology for pixels of types: SINT8, UINT16, SINT32.

This operation is optimized for AVX2 technology for pixels of types: UINT8, SINT8, UINT16, SINT16, SINT32, REAL.

This operation is optimized for NEON technology for pixels of types: UINT8, SINT8.

This operation supports automatic parallelization for multicore and multiprocessor systems.

Errors

This filter can throw an exception to report error. Read how to deal with errors in Error Handling.

List of possible exceptions:

Error type	Description
DomainError	Image formats are not the same in MinimumImage.
DomainError	Image sizes are not equal in MinimumImage.
DomainError	Region exceeds an input image in MinimumImage.

Complexity Level

This filter is available on Advanced Complexity Level.