This reference contains all methods currently available in CLIJ, CLIJ2 and CLIJx compatible with CLIc.. Read more about CLIJs release cycle
Please note: CLIJ is deprecated. Make the transition to CLIJ2.
Method is available in CLIJ (deprecated release)
Method is available in CLIJ2 (stable release)
Method is available in CLIJx (experimental release)
Method is available in clEsperanto (experimental)
Categories: Binary, Filter, Graphs, Labels, Math, Matrices, Measurements, Projections, Transformations, Detection, CLIc
[A], B,[C],[D],[E], F,[G], H, I, J, K, L,[M],[N], O, P, Q, R,[S], T, U, V, W, X, Y, Z
Computes the absolute value of every individual pixel x in a given image.
Adds a scalar value s to all pixels x of a given image X.
Calculates the sum of pairs of pixels x and y of two images X and Y.
Calculates the sum of pairs of pixels x and y from images X and Y weighted with factors a and b.
Copies an image.
Detects local maxima in a given square/cubic neighborhood.
Applies Gaussian blur to the input image twice with different sigma values resulting in two images which are then subtracted from each other.
Applies Gaussian blur to the input image twice with different sigma values resulting in two images which are then subtracted from each other.
Computes a binary image with pixel values 0 and 1 containing the binary dilation of a given input image.
Determines if two images A and B equal pixel wise.
Determines if an image A and a constant b are equal.
Computes a binary image with pixel values 0 and 1 containing the binary erosion of a given input image.
Computes the Gaussian blurred image of an image given two sigma values in X and Y.
Computes the Gaussian blurred image of an image given two sigma values in X, Y and Z.
Determines if two images A and B greater pixel wise.
Determines if two images A and B greater pixel wise.
Determines if two images A and B greater or equal pixel wise.
Determines if two images A and B greater or equal pixel wise.
Computes the local maximum of a pixels rectangular neighborhood.
Computes the local maximum of a pixels cube neighborhood.
Determines the maximum of all pixels in a given image.
Determines the maximum intensity projection of an image along X.
Determines the maximum intensity projection of an image along X.
Determines the maximum intensity projection of an image along Z.
Computes the local mean average of a pixels rectangular neighborhood.
Computes the local mean average of a pixels ellipsoidal neighborhood.
Computes the local mean average of a pixels cube neighborhood.
Computes the local minimum of a pixels rectangular neighborhood.
Computes the local minimum of a pixels cube neighborhood.
Determines the minimum of all pixels in a given image.
Determines the minimum intensity projection of an image along Y.
Determines the minimum intensity projection of an image along Y.
Determines the minimum intensity projection of an image along Z.
Apply a minimum filter (box shape) to the input image.
Determines if two images A and B equal pixel wise.
Determines if two images A and B equal pixel wise.
Sets all pixel values x of a given image X to a constant value v.
Sets all pixels in an image which are not zero to the index of the pixel.
Determines if two images A and B smaller pixel wise.
Determines if two images A and B smaller pixel wise.
Determines if two images A and B smaller or equal pixel wise.
Determines if two images A and B smaller or equal pixel wise.
Convolve the image with the Sobel kernel.
Subtracts one image X from another image Y pixel wise.
Determines the sum of all pixels in a given image.
Determines the sum intensity projection of an image along Z.
Determines the sum intensity projection of an image along Z.
Determines the sum intensity projection of an image along Z.
49 methods listed.