Documentation

Calculates the gradient of an image

>>> print (gradient image)

Loads an image from disk

>>> image <- loadImage "image.png" True

Saves an image to disk

>>> saveImage image "image.png"

Loads an image natively

>>> image <- loadImageNative "image.png"

Saves an image natively

>>> saveImageNative image "image.png"

Returns true if ArrayFire was compiled with ImageIO (FreeImage) support

>>> print =<< isImageIOAvailable

Resize an input image.

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Resizing an input image can be done using either AF_INTERP_NEAREST, AF_INTERP_BILINEAR or AF_INTERP_LOWER, interpolations. Nearest interpolation will pick the nearest value to the location, bilinear interpolation will do a weighted interpolation for calculate the new size and lower interpolation is similar to the nearest, except it will use the floor function to get the lower neighbor.

Transform an input image.

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The transform function uses an affine or perspective transform matrix to tranform an input image into a new one.

Transform input coordinates.

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C Interface for transforming an image C++ Interface for transforming coordinates.

Rotate an input image.

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Rotating an input image can be done using AF_INTERP_NEAREST, AF_INTERP_BILINEAR or AF_INTERP_LOWER interpolations. Nearest interpolation will pick the nearest value to the location, whereas bilinear interpolation will do a weighted interpolation for calculate the new size.

Translate an input image.

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Translating an image is moving it along 1st and 2nd dimensions by trans0 and trans1. Positive values of these will move the data towards negative x and negative y whereas negative values of these will move the positive right and positive down. See the example below for more.

Scale an input image.

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Scale is the same functionality as af::resize except that the scale function uses the transform kernels. The other difference is that scale does not set boundary values to be the boundary of the input array. Instead these are set to 0.

Skew an input image.

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Skew function skews the input array along dim0 by skew0 and along dim1 by skew1. The skew areguments are in radians. Skewing the data means the data remains parallel along 1 dimensions but the other dimensions gets moved along based on the angle. If both skew0 and skew1 are specified, then the data will be skewed along both directions.

Histogram of input data.

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A histogram is a representation of the distribution of given data. This representation is essentially a graph consisting of the data range or domain on one axis and frequency of occurence on the other axis. All the data in the domain is counted in the appropriate bin. The total number of elements belonging to each bin is known as the bin's frequency.

Dilation(morphological operator) for images.

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The dilation function takes two pieces of data as inputs. The first is the input image to be morphed, and the second is the mask indicating the neighborhood around each pixel to match.

• Note* if mask is all ones, this function behaves like max filter

Dilation (morphological operator) for volumes.

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Dilation for a volume is similar to the way dilation works on an image. Only difference is that the masking operation is performed on a volume instead of a rectangular region.

Erosion (morphological operator) for volumes.

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The erosion function is a morphological transformation on an image that requires two inputs. The first is the image to be morphed, and the second is the mask indicating neighborhood that must be white in order to preserve each pixel.

• Note* if mask is all ones, this function behaves like min filter

Erosion (morphological operator) for volumes.

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Erosion for a volume is similar to the way erosion works on an image. Only difference is that the masking operation is performed on a volume instead of a rectangular region.

Bilateral Filter.

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A bilateral filter is a edge-preserving filter that reduces noise in an image. The intensity of each pixel is replaced by a weighted average of the intensities of nearby pixels. The weights follow a Gaussian distribution and depend on the distance as well as the color distance.

Meanshift Filter.

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A meanshift filter is an edge-preserving smoothing filter commonly used in object tracking and image segmentation.

Find minimum value from a window.

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minfilt finds the smallest value from a 2D window and assigns it to the current pixel.

Find maximum value from a window.

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maxFilt finds the smallest value from a 2D window and assigns it to the current pixel.

Find blobs in given image.

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Given a binary image (with zero representing background pixels), regions computes a floating point image where each connected component is labeled from 1 to N, the total number of components in the image. ** FIX ME**

Sobel Operators.

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Sobel operators perform a 2-D spatial gradient measurement on an image to emphasize the regions of high spatial frequency, namely edges

• Note* If img is 3d array, a batch operation will be performed.

RGB to Grayscale colorspace converter.

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RGB (Red, Green, Blue) is the most common format used in computer imaging. RGB stores individual values for red, green and blue, and hence the 3 values per pixel. A combination of these three values produces the gamut of unique colors.

Grayscale to RGB colorspace converter.

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Grayscale is a single channel color space where pixel value ranges from 0 to 1. Zero represents black, one represent white and any value between zero & one is a gray value

Histogram equalization of input image.

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Histogram equalization is a method in image processing of contrast adjustment using the image's histogram.

Creates a Gaussian Kernel.

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This function creates a kernel of a specified size that contains a Gaussian distribution. This distribution is normalized to one. This is most commonly used when performing a Gaussian blur on an image. The function takes two sets of arguments, the size of the kernel (width and height in pixels) and the sigma parameters (for row and column) which effect the distribution of the weights in the y and x directions, respectively.

HSV to RGB colorspace converter.

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C Interface for converting HSV to RGB.

• Note* input must be three dimensional

RGB to HSV colorspace converter.

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RGB (Red, Green, Blue) is the most common format used in computer imaging. RGB stores individual values for red, green and blue, and hence the 3 values per pixel. A combination of these three values produces the gamut of unique colors.

Colorspace conversion function.

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C Interface wrapper for color space conversion.

Rearrange windowed sections of an array into columns (or rows).

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C Interface for rearranging windowed sections of an input into columns (or rows)

Performs the opposite of unwrap.

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Summed Area Tables.

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RGB (Red, Green, Blue) is the most common format used in computer imaging. RGB stores individual values for red, green and blue, and hence the 3 values per pixel. A combination of these three values produces the gamut of unique colors.

YCbCr to RGB colorspace converter

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YCbCr is a family of color spaces used as a part of the color image pipeline in video and digital photography systems where Y is luma component and Cb & Cr are the blue-difference and red-difference chroma components.

RGB to YCbCr colorspace converter.

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RGB (Red, Green, Blue) is the most common format used in computer imaging. RGB stores individual values for red, green and blue, and hence the 3 values per pixel. A combination of these three values produces the gamut of unique colors.

Finding different properties of image regions.

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C Interface for calculating image moment(s) of a single image.

Finding different properties of image regions.

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C Interface for calculating image moment(s) of a single image.

Canny Edge Detector

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The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images.

Anisotropic Smoothing Filter.

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C Interface for anisotropic diffusion.