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The OpenVX Specification
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The OpenVX Specification
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These are the base vision functions supported in OpenVX 1.1.
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. The output image dimensions should be the same as the dimensions of the input images. | |
| Accumulate | |
| Accumulates an input image into output image. The accumulation image dimensions should be the same as the dimensions of the input image. | |
| Accumulate Squared | |
| Accumulates a squared value from an input image to an output image. The accumulation image dimensions should be the same as the dimensions of the input image. | |
| Data Object Copy | |
| Copy a data object to another. | |
| Accumulate Weighted | |
| Accumulates a weighted value from an input image to an output image. The accumulation image dimensions should be the same as the dimensions of the input image. | |
| Arithmetic Addition | |
| Performs addition between two images. The output image dimensions should be the same as the dimensions of the input images. | |
| Arithmetic Subtraction | |
| Performs subtraction between two images. The output image dimensions should be the same as the dimensions of the input images. | |
| Bitwise AND | |
Performs a bitwise AND operation between two VX_DF_IMAGE_U8 images. The output image dimensions should be the same as the dimensions of the input images. | |
| Bitwise EXCLUSIVE OR | |
Performs a bitwise EXCLUSIVE OR (XOR) operation between two VX_DF_IMAGE_U8 images. The output image dimensions should be the same as the dimensions of the input images. | |
| Bitwise INCLUSIVE OR | |
Performs a bitwise INCLUSIVE OR operation between two VX_DF_IMAGE_U8 images. The output image dimensions should be the same as the dimensions of the input images. | |
| Bitwise NOT | |
Performs a bitwise NOT operation on a VX_DF_IMAGE_U8 input image. The output image dimensions should be the same as the dimensions of the input image. | |
| Box Filter | |
| Computes a Box filter over a window of the input image. The output image dimensions should be the same as the dimensions of the input image. | |
| Non-Maxima Suppression | |
| Find local maxima in an image, or otherwise suppress pixels that are not local maxima. | |
| Canny Edge Detector | |
| Provides a Canny edge detector kernel. The output image dimensions should be the same as the dimensions of the input image. | |
| Channel Combine | |
| Implements the Channel Combine Kernel. | |
| Channel Extract | |
| Implements the Channel Extraction Kernel. | |
| Color Convert | |
| Implements the Color Conversion Kernel. The output image dimensions should be the same as the dimensions of the input image. | |
| Convert Bit depth | |
| Converts image bit depth. The output image dimensions should be the same as the dimensions of the input image. | |
| Custom Convolution | |
| Convolves the input with the client supplied convolution matrix. The output image dimensions should be the same as the dimensions of the input image. | |
| Dilate Image | |
Implements Dilation, which grows the white space in a VX_DF_IMAGE_U8 Boolean image. The output image dimensions should be the same as the dimensions of the input image. | |
| Equalize Histogram | |
| Equalizes the histogram of a grayscale image. The output image dimensions should be the same as the dimensions of the input image. | |
| Erode Image | |
Implements Erosion, which shrinks the white space in a VX_DF_IMAGE_U8 Boolean image. The output image dimensions should be the same as the dimensions of the input 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. The output image dimensions should be the same as the dimensions of the input image. | |
| Non Linear Filter | |
| Computes a non-linear filter over a window of the input image. The output image dimensions should be the same as the dimensions 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. | |
| Laplacian Image Pyramid | |
| Computes a Laplacian Image Pyramid from an input image. | |
| Reconstruction from a Laplacian Image Pyramid | |
| Reconstructs the original image from a Laplacian Image Pyramid. | |
| Integral Image | |
| Computes the integral image of the input. The output image dimensions should be the same as the dimensions of the input image. | |
| Magnitude | |
| Implements the Gradient Magnitude Computation Kernel. The output image dimensions should be the same as the dimensions of the input images. | |
| 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. The output image dimensions should be the same as the dimensions of the input image. | |
| Min, Max Location | |
| Finds the minimum and maximum values in an image and a location for each. | |
| Min | |
| Implements a pixel-wise minimum kernel. The output image dimensions should be the same as the dimensions of the input image. | |
| Max | |
| Implements a pixel-wise maximum kernel. The output image dimensions should be the same as the dimensions of the input image. | |
| Optical Flow Pyramid (LK) | |
| Computes the optical flow using the Lucas-Kanade method between two pyramid images. | |
| Phase | |
| Implements the Gradient Phase Computation Kernel. The output image dimensions should be the same as the dimensions of the input images. | |
| Pixel-wise Multiplication | |
| Performs element-wise multiplication between two images and a scalar value. The output image dimensions should be the same as the dimensions of the input images. | |
| 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. The output images dimensions should be the same as the dimensions of the input image. | |
| TableLookup | |
| Implements the Table Lookup Image Kernel. The output image dimensions should be the same as the dimensions of the input image. | |
| Thresholding | |
| Thresholds an input image and produces an output Boolean image. The output image dimensions should be the same as the dimensions of the input image. | |
| Warp Affine | |
| Performs an affine transform on an image. | |
| Warp Perspective | |
| Performs a perspective transform on an image. | |
| Bilateral Filter | |
| The function applies bilateral filtering to the input tensor. | |
| MatchTemplate | |
| Compares an image template against overlapped image regions. | |
| LBP | |
| Extracts LBP image from an input image. The output image dimensions should be the same as the dimensions of the input image. | |
| HOG | |
| Extracts Histogram of Oriented Gradients features from the input grayscale image. | |
| HoughLinesP | |
| Finds the Probabilistic Hough Lines detected in the input binary image. | |
| Tensor Multiply | |
| Performs element wise multiplications on element values in the input tensor data with a scale. | |
| Tensor Add | |
| Performs arithmetic addition on element values in the input tensor data. | |
| Tensor Subtract | |
| Performs arithmetic subtraction on element values in the input tensor data. | |
| Tensor TableLookUp | |
| Performs LUT on element values in the input tensor data. | |
| Tensor Transpose | |
| Performs transpose on the input tensor. | |
| Tensor Convert Bit-Depth | |
| Creates a bit-depth conversion node. | |
| Tensor Matrix Multiply | |
| Creates a generalized matrix multiplication node. | |
1.8.11 
