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-/*
- * Copyright (C) 2017 European Synchrotron Radiation Facility
- * Grenoble, France
- *
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to deal
- * in the Software without restriction, including without limitation the rights
- * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
- * copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in
- * all copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
- * THE SOFTWARE.
- *
- */
-
-/**
- *
- * Compute the spatial gradient of an image.
- *
- * slice: input image
- * slice_grad: output gradient
- * sizeX: number of columns of the image
- * sizeY: number of rows of the image
- *
- **/
-kernel void kern_gradient2D(
- global float* slice,
- global float2* slice_grad,
- int sizeX,
- int sizeY)
-{
-
- int gidx = (int) get_global_id(0);
- int gidy = (int) get_global_id(1);
-
- if ((gidx < sizeX) && (gidy < sizeY))
- {
- // Note the direction inconstancy ! (JK 07/2018)
-
- float val_y = (gidx == (sizeX-1))? 0: slice[gidy*sizeX+gidx+1] - slice[gidy*sizeX+gidx];
- float val_x = (gidy == (sizeY-1))? 0: slice[(gidy+1)*sizeX+gidx] - slice[(gidy)*sizeX+gidx];
-
- slice_grad[gidy*sizeX+gidx].x = val_x;
- slice_grad[gidy*sizeX+gidx].y = val_y;
- }
-}
-
-/**
- *
- * Compute the spatial divergence of an image gradient.
- *
- * slice_grad: input gradient-like image
- * slice: output image
- * sizeX: number of columns of the input
- * sizeY: number of rows of the input
- *
- **/
-kernel void kern_divergence2D(
- global float2* slice_grad,
- global float* slice,
- int sizeX,
- int sizeY)
-{
- int gidx = (int) get_global_id(0);
- int gidy = (int) get_global_id(1);
-
- if (gidx < sizeX && gidy < sizeY)
- {
- float val_x, val_y;
- val_y = (gidx == 0)?
- slice_grad[(gidy)*sizeX+gidx].y :
- slice_grad[(gidy)*sizeX+gidx].y - slice_grad[(gidy)*sizeX+gidx-1].y;
- val_x = (gidy == 0)?
- slice_grad[(gidy)*sizeX+gidx].x:
- slice_grad[(gidy)*sizeX+gidx].x - slice_grad[(gidy-1)*sizeX+gidx].x;
- slice[gidy*sizeX+gidx] = val_x + val_y;
- }
-}