GPU accelerated image processing for everyone
Deforms an image according to distances provided in the given vector images.
It is recommended to use 32-bit images for input, output and vector images.
source : Image The input image to be processed. vector_x : Image Pixels in this image describe the distance in X direction pixels should be shifted during warping. vector_y : Image Pixels in this image describe the distance in Y direction pixels should be shifted during warping. destination : Image The output image where results are written into.
Category: Transformations
Availability: Available in Fiji by activating the update site clij. This function is part of clij-core-1.8.0.6.jar.
Ext.CLIJ_applyVectorfield(Image source, Image vector_x, Image vector_y, Image destination);
// init CLIJ and GPU import net.haesleinhuepf.clijx.CLIJx; import net.haesleinhuepf.clij.clearcl.ClearCLBuffer; CLIJx clijx = CLIJx.getInstance(); // get input parameters ClearCLBuffer source = clijx.push(sourceImagePlus); ClearCLBuffer vector_x = clijx.push(vector_xImagePlus); ClearCLBuffer vector_y = clijx.push(vector_yImagePlus); destination = clijx.create(source);
// Execute operation on GPU clijx.applyVectorfield(source, vector_x, vector_y, destination);
// show result destinationImagePlus = clijx.pull(destination); destinationImagePlus.show(); // cleanup memory on GPU clijx.release(source); clijx.release(vector_x); clijx.release(vector_y); clijx.release(destination);
% init CLIJ and GPU clijx = init_clatlabx(); % get input parameters source = clijx.pushMat(source_matrix); vector_x = clijx.pushMat(vector_x_matrix); vector_y = clijx.pushMat(vector_y_matrix); destination = clijx.create(source);
% Execute operation on GPU clijx.applyVectorfield(source, vector_x, vector_y, destination);
% show result destination = clijx.pullMat(destination) % cleanup memory on GPU clijx.release(source); clijx.release(vector_x); clijx.release(vector_y); clijx.release(destination);