Modules

Here is a list of all modules:

[detail level 1234]

▼Vision Functions	These are the base vision functions supported in OpenVX 1.0
Absolute Difference	Computes the absolute difference between two images
Accumulate	Accumulates an input image into output image
Accumulate Squared	Accumulates a squared value from an input image to an output image
Accumulate Weighted	Accumulates a weighted value from an input image to an output image
Arithmetic Addition	Performs addition between two images
Arithmetic Subtraction	Performs subtraction between two images
Bitwise AND	Performs a bitwise AND operation between two VX_DF_IMAGE_U8 images
Bitwise EXCLUSIVE OR	Performs a bitwise EXCLUSIVE OR (XOR) operation between two VX_DF_IMAGE_U8 images
Bitwise INCLUSIVE OR	Performs a bitwise INCLUSIVE OR operation between two VX_DF_IMAGE_U8 images
Bitwise NOT	Performs a bitwise NOT operation on a VX_DF_IMAGE_U8 input image
Box Filter	Computes a Box filter over a window of the input image
Canny Edge Detector	Provides a Canny edge detector kernel
Channel Combine	Implements the Channel Combine Kernel
Channel Extract	Implements the Channel Extraction Kernel
Color Convert	Implementes the Color Conversion Kernel
Convert Bit depth	Converts image bit depth
Custom Convolution	Convolves the input with the client supplied convolution matrix
Dilate Image	Implements Dilation, which grows the white space in a VX_DF_IMAGE_U8 Boolean image
Equalize Histogram	Equalizes the histogram of a grayscale image
Erode Image	Implements Erosion, which shrinks the white space in a VX_DF_IMAGE_U8 Boolean image
Fast Corners	Computes the corners in an image using a method based upon FAST9 algorithm suggested in [3] and with some updates from [4] with modifications described below
Gaussian Filter	Computes a Gaussian filter over a window of the input image
Harris Corners	Computes the Harris Corners of an image
Histogram	Generates a distribution from an image
Gaussian Image Pyramid	Computes a Gaussian Image Pyramid from an input image
Integral Image	Computes the integral image of the input
Magnitude	Implements the Gradient Magnitude Computation Kernel
Mean and Standard Deviation	Computes the mean pixel value and the standard deviation of the pixels in the input image (which has a dimension width and height)
Median Filter	Computes a median pixel value over a window of the input image
Min, Max Location	Finds the minimum and maximum values in an image and a location for each
Optical Flow Pyramid (LK)	Computes the optical flow using the Lucas-Kanade method between two pyramid images
Phase	Implements the Gradient Phase Computation Kernel
Pixel-wise Multiplication	Performs element-wise multiplication between two images and a scalar value
Remap	Maps output pixels in an image from input pixels in an image
Scale Image	Implements the Image Resizing Kernel
Sobel 3x3	Implements the Sobel Image Filter Kernel
TableLookup	Implements the Table Lookup Image Kernel
Thresholding	Thresholds an input image and produces an output Boolean image
Warp Affine	Performs an affine transform on an image
Warp Perspective	Performs a perspective transform on an image
▼Basic Features	The basic parts of OpenVX needed for computation
▼Objects	Defines the basic objects within OpenVX
Object: Reference	Defines the Reference Object interface
Object: Context	Defines the Context Object Interface
Object: Graph	Defines the Graph Object interface
Object: Node	Defines the Node Object interface
Object: Array	Defines the Array Object Interface
Object: Convolution	Defines the Image Convolution Object interface
Object: Distribution	Defines the Distribution Object Interface
Object: Image	Defines the Image Object interface
Object: LUT	Defines the Look-Up Table Interface
Object: Matrix	Defines the Matrix Object Interface
Object: Pyramid	Defines the Image Pyramid Object Interface
Object: Remap	Defines the Remap Object Interface
Object: Scalar	Defines the Scalar Object interface
Object: Threshold	Defines the Threshold Object Interface
▼Administrative Features	Defines the Administrative Features of OpenVX
▼Advanced Objects
Object: Array (Advanced)	Defines the advanced features of the Array Interface
▼Object: Node (Advanced)	Defines the advanced features of the Node Interface
Node: Border Modes	Defines the border mode behaviors
Object: Delay	Defines the Delay Object interface
Object: Kernel	Defines the Kernel Object and Interface
Object: Parameter	Defines the Parameter Object interface
▼Advanced Framework API	Describes components that are considered to be advanced
Framework: Node Callbacks	Allows Clients to receive a callback after a specific node has completed execution
Framework: Performance Measurement	Defines Performance measurement and reporting interfaces
Framework: Log	Defines the debug logging interface
Framework: Hints	Defines the Hints Interface
Framework: Directives	Defines the Directives Interface
Framework: User Kernels	Defines the User Kernels, which are a method to extend OpenVX with new vision functions
Framework: Graph Parameters	Defines the Graph Parameter API