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CLIJ 1/2/x reference in category ‘detection’

This reference contains all methods currently available in CLIJ, CLIJ2 and CLIJx for spot detection.. 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)

Categories: Binary, Filter, Graphs, Labels, Math, Matrices, Measurements, Projections, Transformations

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

B

binaryEdgeDetection

Determines pixels/voxels which are on the surface of binary objects and sets only them to 1 in the destination image. All other pixels are set to 0.

D

detectAndLabelMaxima (Experimental)

Determines maximum regions in a Gaussian blurred version of the original image.

detectLabelEdges

Takes a labelmap and returns an image where all pixels on label edges are set to 1 and all other pixels to 0.

detectMaxima2DBox

Detects local maxima in a given square/cubic neighborhood.

detectMaxima3DBox

Detects local maxima in a given square/cubic neighborhood.

detectMaximaSliceBySliceBox

Detects local maxima in a given square neighborhood of an input image stack.

detectMinima2DBox

Detects local minima in a given square/cubic neighborhood.

detectMinima3DBox

Detects local minima in a given square/cubic neighborhood.

detectMinimaSliceBySliceBox

Detects local minima in a given square neighborhood of an input image stack.

F

findAndLabelMaxima (Experimental)

Determine maxima with a given tolerance to surrounding maxima and background and label them.

findMaxima (Experimental)

Finds and labels local maxima with neighboring maxima and background above a given tolerance threshold.

L

labelSpots

Transforms a binary image with single pixles set to 1 to a labelled spots image.

S

spotsToPointList

Transforms a spots image as resulting from maximum/minimum detection in an image where every column contains d pixels (with d = dimensionality of the original image) with the coordinates of the maxima/minima.