Difference between revisions of "CUVI Features"

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===CuviMat===
===CuviMat===
A C structure to hold image data on the device. It has the following methods
A C structure to hold image data on the device. It has the following methods
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===Timer===
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===DeviceProperties===
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Revision as of 17:47, 25 April 2012

This page provides a list of all the functionality available in the latest release of CUVI Library.

Modules

CUVI comes in following image processing modules.

Color Operations

Computer Vision

Image Statistics

Image Filtering

Geometry Transforms

CUVI Core

CUVI Core includes the following helper functionality:

CuviImage

A C++ class to hold image data on the device. It has the following methods

  • 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 CuviMat
  • Upload(void* pSrcHost, size_t srcPitch, CuviStream* stream = NULL) - Copy image data from host to device. Async operation supported
  • Download(void* pDstHost, size_t dstPitch, CuviStream* stream = NULL) - Copy image data from device to host
  • Show(char* title = "CUVI Image",int milliseconds = 0) - Render device image directly on the screen
  • ~CuviImage() - Destructor. Frees Device Memory. throws exception in case of failure


CuviMat

A C structure to hold image data on the device. It has the following methods


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