Difference between revisions of "CUVI Features"
From CUVI Wiki
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===Color Operations=== | ===Color Operations=== | ||
* [[Function:Adjust| | * [[Function:Adjust|adjust]] - Equivalent to MATLAB's imadjust | ||
* [[Function:ChannelMerge| | * [[Function:BorderMask|borderMask]] - Masks image borders with custom intensity | ||
* [[Function:ChannelSplit| | * [[Function:ChannelMerge|channelMerge]] - Merges R, G and B Channel to form a color image | ||
* [[Function:ColorTwist| | * [[Function:ChannelSplit|channelSplit]] - Splits a three channel image into R, G and B channels | ||
* [[Function:HistEq| | * [[Function:ColorPick|colorPick]] - description | ||
* [[Function:RGB2Gray| | * [[Function:ColorTwist|colorTwist]] - Applies a color twist matrix to an image | ||
* [[Function: | * [[Function:Demosaic|demosaic]] - Restores an RGB image from a CFA Bayer image | ||
* [[Function: | * [[Function:Demosaic_DFPD|demosaic_DFPD]] - Restores an RGB image from a CFA Bayer image using DFPD alogirthm | ||
* [[Function: | * [[Function:GammaCorrect|gammaCorrect]] - description | ||
* [[Function: | * [[Function:Gray2rgb|gray2rgb]] - description | ||
* [[Function: | * [[Function:HistEq|histEq]] - Performs histogram equalization | ||
* [[Function:Hsv2rgb|hsv2rgb]] - description | |||
* [[Function:ImageBinary|imageBinary]] - Converts input image into a binary image based on threshold | |||
* [[Function:Lab2rgb|Lab2rgb]] - description | |||
* [[Function:LogTransform|logTransform]] - description | |||
* [[Function:LUT|LUT]] - description | |||
* [[Function:RGB2Gray|rgb2gray]] - Converts an RGB image to gray scale using fixed transform coefficients. | |||
* [[Function:Rgb2hsv|rgb2hsv]] - description | |||
* [[Function:Rgb2Lab|rgb2Lab]] - description | |||
* [[Function:Rgb2ycbcr|rgb2ycbcr]] - description | |||
* [[Function:RGB2YUV|rgb2yuv]] - Convert RGB image to YUV color model | |||
* [[Function:Ycbcr2rgb|ycbcr2rgb]] - description | |||
* [[Function:YUV2RGB|yuv2rgb]] - Convert YUV color model to an RGB image | |||
===Computer Vision=== | ===Computer Vision=== | ||
* [[Function:GoodFeaturesToTrack|GoodFeaturesToTrack]] - selects N best points on a image using KLT or Harris | * [[Function:GoodFeaturesToTrack|GoodFeaturesToTrack]] - selects N best points on a image using KLT or Harris |
Revision as of 16:53, 11 June 2014
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.
- Arithmetic & Logical
- Color Operations
- Computer Vision
- Data Exchange
- Geometry Transforms
- Image Filtering
- Image Statistics
- Image Transforms
- Video Stabilization
Function List
Arithmetic & Logical
Color Operations
Computer Vision
|
Data Exchange
Geometry Transforms
Image Filtering
Image Statistics
Image Transforms
Video Stabilization
|
CUVI Core
CUVI Core includes the following helper functionality:
CuviImageA C++ class to hold image data on the device. It has the following methods
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