GPU accelerated image processing for everyone
Applies a rigid transform using linear interpolation to an image stack.
Category: Transformations
Ext.CLIJx_rigidTransform(Image input, Image destination, Number translation_x, Number translation_y, Number translation_z, Number rotation_angle_x, Number rotation_angle_y, Number rotation_angle_z);
// init CLIJ and GPU import net.haesleinhuepf.clijx.CLIJx; import net.haesleinhuepf.clij.clearcl.ClearCLBuffer; CLIJx clijx = CLIJx.getInstance(); // get input parameters ClearCLBuffer input = clijx.push(inputImagePlus); destination = clijx.create(input); float translation_x = 1.0; float translation_y = 2.0; float translation_z = 3.0; float rotation_angle_x = 4.0; float rotation_angle_y = 5.0; float rotation_angle_z = 6.0;
// Execute operation on GPU clijx.rigidTransform(input, destination, translation_x, translation_y, translation_z, rotation_angle_x, rotation_angle_y, rotation_angle_z);
// show result destinationImagePlus = clijx.pull(destination); destinationImagePlus.show(); // cleanup memory on GPU clijx.release(input); clijx.release(destination);
% init CLIJ and GPU clijx = init_clatlabx(); % get input parameters input = clijx.pushMat(input_matrix); destination = clijx.create(input); translation_x = 1.0; translation_y = 2.0; translation_z = 3.0; rotation_angle_x = 4.0; rotation_angle_y = 5.0; rotation_angle_z = 6.0;
% Execute operation on GPU clijx.rigidTransform(input, destination, translation_x, translation_y, translation_z, rotation_angle_x, rotation_angle_y, rotation_angle_z);
% show result destination = clijx.pullMat(destination) % cleanup memory on GPU clijx.release(input); clijx.release(destination);