You are here: Start » AVL.NET » Image Combinators

Image Combinators

Icon Name Description Modules
AddImages Adds two images pixel by pixel. FoundationLite
AddImages_OfArray Adds images of an array pixel by pixel. FoundationLite
AddImages_OfLoop Adds images appearing in consecutive iterations pixel by pixel. FoundationLite
AverageImages Averages two images pixel by pixel. FoundationLite
AverageImages_OfArray Averages images from an array pixel by pixel. FoundationLite
AverageImages_OfLoop Averages images appearing in consecutive iterations pixel by pixel. FoundationLite
BlendImages Computes weighted sum pixel by pixel. FoundationLite
ComposeImages Takes pixels from the first image within the specified region and from the other one elsewhere. FoundationLite
DifferenceImage Useful for things like comparing an image against a template or for detecting differences between consecutive video frames. FoundationLite
DifferenceImage_Flex Useful for things like comparing an image against a template or for detecting differences between consecutive video frames. FoundationPro
DifferenceImage_Shifted Useful for things like comparing an image against a template or for detecting differences between consecutive video frames. FoundationLite
DivideImages Can be used for flat field correction. FoundationLite
LerpImages Interpolates two images linearly pixel by pixel. FoundationLite
LerpImages_ByImage Interpolates two images linearly pixel by pixel according to another image values. FoundationLite
MaximumImage Creates an image from the higher pixel values of each corresponding pair. FoundationLite
MaximumImage_OfArray Computes the maximum of images of an array pixel by pixel. FoundationLite
MaximumImage_OfLoop Computes the maximum of images appearing in consecutive iterations pixel by pixel. FoundationLite
MedianImages_OfArray Compute median value for each pixel of images from an array. FoundationLite
MinimumImage Creates an image from the lower pixel values of each corresponding pair. FoundationLite
MinimumImage_OfArray Computes the minimum of images of an array pixel by pixel. FoundationLite
MinimumImage_OfLoop Computes the minimum of images appearing in consecutive iterations pixel by pixel. FoundationLite
MultiplyImages Multiplies two images pixel by pixel. FoundationLite
MultiplyImages_OfArray Multiplies images of an array pixel by pixel. FoundationLite
MultiplyImages_OfLoop Multiplies images appearing in consecutive iterations pixel by pixel. FoundationLite
NthImage_OfArray For each pixel location, get value of n-th (increasing) pixel among input images. FoundationLite
RollingAverageImages_OfArray Averages images appearing in an array pixel by pixel using exponential rolling average. FoundationLite
RollingAverageImages_OfLoop Averages images appearing in consecutive iterations pixel by pixel using exponential rolling average. FoundationLite
SubtractImages Subtracts two images pixel by pixel. The result is signed. FoundationLite