VXLIB kernels

Introduction

Kernels available within VXLIB.

Sub Modules
	VXLIB_absDiff
	Kernel for calculating absolute difference of two input images.
	VXLIB_accumulateImage
	Kernel for adding the input image to the output image. This kernel has no internel implementation. Instead, it calls the VXLIB_add kernel implementation.
	VXLIB_accumulateSquareImage
	Kernel for adding the square of one image to the output image. This kernel has no internel implementation. Instead, it calls the addSqure kernel implementation.
	VXLIB_accumulateWeightImage
	Kernel for weighted accumulation of input image and output image. This kernel has no internel implementation. Instead,it calls the VXLIB_addWeight kernel implementation.
	VXLIB_add
	Kernel for adding two input vector data.
	VXLIB_addSquare
	Kernel for adding the square of one image to another image.
	VXLIB_addWeight
	Kernel for weighted addition of two input vector data.
	VXLIB_and
	Kernel for computing bitwise and of two input vector data.
	VXLIB_box
	Kernel for applying kxk boxFilter on input image.
	VXLIB_convertDepth
	Kernel for converting bit depth of images from 16-bit to 8-bit and 8-bit to 16-bit.
	VXLIB_convolve
	Kernel for applying filterHeight x filterWidth convolution filter on input image, scaled by constant, and saturating the output to the output datatype numeric limits.
	VXLIB_dilate
	Kernel for applying an M x N dilate operation on an input image.
	VXLIB_gaussian
	Kernel for applying kxk gaussian filter on input image.
	VXLIB_halfScaleGaussian
	Kernel for applying 5x5 half scale gaussian filter on input image.
	VXLIB_histogram
	Kernel for creating a histogram distribution from an image based on a given given offset, range, and number of bins.
	VXLIB_magnitude
	Kernel for adding two input vector data.
	VXLIB_meanStdDev
	Kernel for computing the mean and standard deviation of input vector.
	VXLIB_median
	Kernel for computing the median pixel over a window of imput image, for each pixel.
	VXLIB_minMaxLoc
	Kernel for finding minimum and maximum values in an image and a location for each.
	VXLIB_multiply
	Kernel for multiplying two input vector data.
	VXLIB_normL1
	Kernel for computing the L1 norm of given 2 signed inputs, resulting in an unsigned norm result.
	VXLIB_normL2
	Kernel for computing the L2 norm of given 2 signed inputs resulting in an unsigned norm result.
	VXLIB_not
	Kernel for computing bitwise not of two input vector data.
	VXLIB_or
	Kernel for computing bitwise or of two input vector data.
	VXLIB_subtract
	Kernel for subtracting two input vector data.
	VXLIB_tableLookup
	Kernel for mapping an input pixel value to another value via lookup table.
	VXLIB_thresholdBinary
	Kernel for Thresholding an input image and produces an output Boolean image.
	VXLIB_thresholdRange
	Kernel for Thresholding an input image and produces an output Boolean image.
	VXLIB_xor
	Kernel for computing bitwise xor of two input vector data.