CUVI Features

CUVI Core

CUVI Core includes the following helper functionality:

CuviImage CuviImage(); - default constructor CuviImage(CuviSize size, Cuvi32u depth, Cuvi32u channels); - Main Constructor. throws exception in case of failure CuviImage(const CuviImage&); - copy constructor CuviImage(const CuviMat&); - copy constructor to initialize from a	CuviMat CuviImage(); - default constructor CuviImage(CuviSize size, Cuvi32u depth, Cuvi32u channels); - Main Constructor. throws exception in case of failure CuviImage(const CuviImage&); - copy constructor CuviImage(const CuviMat&); - copy constructor to initialize from a
Timer	DeviceProperties

Function List

Add - Adds two images Adjust - Equivalent to MATLAB's imadjust AND - Logical Bitwise AND BitConversion - Converts image pixel values from one data type to another BorderMask - Masks image borders with custom intensity ChannelMerge - Merges R, G and B Channel to form a color image ChannelSplit - Splits a three channel image into R, G and B channels Color2Gray - Converts an RGB image to gray scale using custom transform coefficients. ColorTwist - Applies a color twist matrix to an image CountInRange - Counts the number of pixels within the given intensity range Crop - Crops the desired portion of an image Demosaic - Restores an RGB image from a gray-scale Bayer image Divide - Divides pixel values of two image buffers DWT - Performs forward discrete wavelet transform Flip - Mirrors an image about a horizontal or vertical axis, or both GoodFeaturesToTrack - selects N best points on a image using KLT or Harris HistEq - Performs histogram equalization IDWT - Performs inverse discrete wavelet transform ImageBinary - Converts input image into a binary image based on threshold ImageGradients - Calculates X and Y gradients of image ImageFilter - Performs linear 1D and 2D image filtering Max - Computes the maximum of image pixel values MaxFilter - Filters an image using a max filter MaxIndx - Computes the maximum of image pixel values, and retrieves the coordinates of pixels with maximal intensity values Mean - Computes the mean of image pixel values MeanStdDev - Computes the mean and standard deviation of image pixel values Min - Computes the minimum of image pixel values MinFilter - Filters an image using a min filter

MinIndx - Computes the minimum of image pixel values, and retrieves the coordinates of pixels with minimal intensity values MinMax - Computes the minimum and maximum of image pixel values MinMaxIndx - Calculates minimum and maximum pixel values and their indexes Multiply - Multiplies pixel values of two image buffers NOT - Performs a bitwise NOT operation on each pixel OpticalFlowHS - Calculates flow of each image pixel in two frames using Horn–Schunck method OpticalFlowPyrLK - Calculates flow of each image pixel or input pixel list in two frames using pyramidal Lucas–Kanade method OR - Combines corresponding pixels of two image buffers by a bitwise OR operation Resize RGB2Gray - Converts an RGB image to gray scale using fixed transform coefficients. RGB2YUV - Convert RGB image to YUV color model RGBA2Gray - Converts an RGBA image to gray scale using fixed transform Rotate - Rotates an image with the origin (0,0) or center Subtract - Subtracts pixel values of two image buffers Sum - Computes the sum of image pixel values TrackFeatures - Tracks input features from frame 1 onto frame 2 using KLT method Transpose - Performs Image transform XOR - Combines corresponding pixels of two image buffers by a bitwise XOR operation YUV2RGB - Convert YUV color model to an RGB image