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The OpenVX Specification
r31169
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|
The OpenVX Specification
r31169
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These are the base vision functions supported in OpenVX 1.0.
These functions were chosen as a subset of a larger pool of possible functions that fall under the following criteria:
Modules | |
| 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. | |
1.8.7 
