// CUDA-based Skeletonization, Distance Transforms, Feature Transforms, Erosion // and Dilation, and Flood Filling Toolkit // //(c) Alexandru Telea, Univ. of Groningen, 2011 //==================================================================================================================== #pragma once // Given an image of size nx x ny that we want to process, CUDA may need to use // a larger image (e.g. pow 2) internally // to handle our image. This returns the size of this larger image. Since we get // back data from CUDA at this size, // we need to know about the size to allocate all our app-side buffers. int skelft2DSize(int nx, int ny); // Initialize CUDA and allocate memory // textureSize is 2^k with k >= 6 void skelft2DInitialization(int textureSize); // Deallocate all memory on GPU void skelft2DDeinitialization(); // Set various FT computation params. Can be called before each FT computation void skelft2DParams(int phase1Band, int phase2Band, int phase3Band); // Compute 2D feature transform (or Voronoi diagram) // siteParam: 2D texture site parameterization. 0 = non-site pixel; >0 = site // parameter at current pixel. // output: 2D texture FT. Gives coords (i,j) of closest site to each pixel. // If output==0, the FT is still computed and stored on CUDA, but not // passed back to CPU. // size: void skelft2DFT(short *output, float *siteParam, short xm, short ym, short xM, short yM, int size); // Compute thresholded skeleton of in-CUDA-memory FT. // length: max value of site parameter (needed for normalization) // threshold: threshold for the skeleton importance, like in the AFMM algorithm // output: binary thresholded skeleton (0=background,1=skeleton) void skelft2DSkeleton(unsigned char *output, float length, float threshold, short xm, short ym, short xM, short yM); // Compute thresholded DT of in-CUDA-memory FT. // threshold: upper value for DT // output: binary thresholded DT (1=larger than threshold,0=otherwise) void skelft2DDT(short *output, float threshold, short xm, short ym, short xM, short yM); // Compute exact DT of in-CUDA-memory FT. // output: exact floating-point DT void skelft2DDT(float *outputDT, short xm, short ym, short xM, short yM); // Make an arc-length parameterization of a binary shape, used for // skeletonization input // input: binary image whose boundary we parameterize // dx,dy: // param: arc-length parameterization image // size: // return: the boundary length float skelft2DMakeBoundary(const unsigned char *input, int xm, int ym, int xM, int yM, float *param, int size, short iso = 1, bool thr_upper = true); float skelft2DMakeBoundary(const float *input, int xm, int ym, int xM, int yM, float *param, int size, float iso = 1, bool thr_upper = true); // Compute topology events (skeleton endpoints) for an in-CUDA-memory // thresholded skeleton // topo: binary image (1=skel endpoints,0=otherwise), optional. If not // supplied, not returned // npts: on input, this gives the max #points we will return; on output, // set to the #points detected and returned // points: array of (x,y) pairs of the detected points extern "C" void skelft2DTopology(unsigned char *topo, int *npts, short *points, short xm, short ym, short xM, short yM); // Utility: save given image to pgm file void skelft2DSave(short *outputFT, int dx, int dy, const char *f); // Compute DT of in-CUDA-memory skeleton void skel2DSkeletonDT(float *outputSkelDT, short xm, short ym, short xM, short yM); // Fills all same-value 4-connected pixels from (seedx,seedy) with value // 'fill_val' in the in-CUDA-memory thresholded DT // outputFill: filled image // <return>: #iterations done for the fill, useful as a performance measure // (lower=better) int skelft2DFill(unsigned char *outputFill, short seedx, short seedy, short xm, short ym, short xM, short yM, unsigned char foreground); int skelft2DFillHoles(unsigned char *outputFill, short x, short y, unsigned char fill_val); //----------------------- void advect2DSetSites(float *sites, int nsites, int inside_sites); void advectSetImage(int *image, int nx, int ny); void advect2DGetSites(float *sites, int nsites); void advect2DSplat(float *density, int num_pts, float radius); void advectAttract(int num_pts, float step); void advectRelax(int num_pts, float map_avg, float radius);