1 files changed, 126 insertions, 0 deletions

diff --git a/SD-VBS/common/toolbox/MultiNcut/multiIntensityFirstLayer.c b/SD-VBS/common/toolbox/MultiNcut/multiIntensityFirstLayer.c
new file mode 100755
index 0000000..0cae523
--- /dev/null
+++ b/SD-VBS/common/toolbox/MultiNcut/multiIntensityFirstLayer.c
@@ -0,0 +1,126 @@
+/*================================================================
+* function w = intensityWppc(image,pi,pj,rMin,sigmaX,sigmaIntensite,valeurMinW )
+* Input:
+*   [pi,pj] = index pair representation for MALTAB sparse matrices
+* Output:
+*   w = affinity with IC at [pi,pj]
+*
+
+pixels i and j (corresponding to the sampling in pi,pj) are fully connected when d(i,j) <= rmin;
+
+% test sequence
+f = synimg(10);
+[i,j] = cimgnbmap(size(f),2);
+[ex,ey,egx,egy] = quadedgep(f);
+a = affinityic(ex,ey,egx,egy,i,j)
+show_dist_w(f,a);
+
+* Stella X. Yu, Nov 19, 2001.
+*=================================================================*/
+
+# include "mex.h"
+# include "math.h"
+
+void mexFunction(
+    int nargout,
+    mxArray *out[],
+    int nargin,
+    const mxArray *in[]
+)
+{
+    /* declare variables */
+    int nr, nc, np, total;
+    int i, j, k, ix, iy, jx, jy;
+        int *ir, *jc;
+        int squareDistance;
+    /* unsigned long *pi, *pj; */
+unsigned int *pi, *pj;
+        double *w;
+
+        double temp,a1,a2,wij;
+        double rMin;
+        double sigmaX, sigmaIntensite,valeurMinW;
+        double *image;
+    
+    /* check argument */
+    if (nargin<7) {
+        mexErrMsgTxt("Four input arguments required");
+    }
+    if (nargout>1) {
+        mexErrMsgTxt("Too many output arguments");
+    }
+
+    /* get edgel information */
+        nr = mxGetM(in[0]);
+        nc = mxGetN(in[0]);
+        np = nr * nc;
+
+    image = mxGetPr(in[0]);
+
+
+    
+    /* get new index pair */
+    if (!mxIsUint32(in[1]) | !mxIsUint32(in[2])) {
+        mexErrMsgTxt("Index pair shall be of type UINT32");
+    }
+    if (mxGetM(in[2]) * mxGetN(in[2]) != np + 1) {
+        mexErrMsgTxt("Wrong index representation");
+    }
+    pi = mxGetData(in[1]);
+    pj = mxGetData(in[2]);    
+
+    /* create output */
+    out[0] = mxCreateSparse(np,np,pj[np],mxREAL);
+    if (out[0]==NULL) {
+            mexErrMsgTxt("Not enough memory for the output matrix");
+        }
+        w = mxGetPr(out[0]);
+        ir = mxGetIr(out[0]);
+        jc = mxGetJc(out[0]);
+        
+        rMin = mxGetScalar(in[3]);
+        sigmaX = mxGetScalar(in[4]);
+        sigmaIntensite= mxGetScalar(in[5]);
+        valeurMinW = mxGetScalar(in[6]);
+
+        a1 = 1.0/ (sigmaX*sigmaX);
+        a2 = 1.0 / (sigmaIntensite*sigmaIntensite );
+
+    /* computation */ 
+    total = 0;
+    for (j=0; j<np; j++) {            
+
+        jc[j] = total;
+        jx = j / nr; /* col */
+        jy = j % nr; /* row */
+        
+        for (k=pj[j]; k<pj[j+1]; k++) {
+        
+            i = pi[k];
+          
+            if (i==j) {
+                wij= 1; /*voir*/
+            
+            } else {        
+                ix = i / nr; 
+                iy = i % nr;
+
+                squareDistance = (ix-jx)*(ix-jx)+(iy-jy)*(iy-jy);
+                
+                   temp = image[i]-image[j];
+                   wij = exp(- squareDistance * a1 - temp*temp * a2 );
+                   /*if(wij < valeurMinW)
+                      wij = -0.1;*/
+            }
+                ir[total] = i;
+
+                w[total] = wij;
+                total = total + 1;
+                        
+          } /* i */
+
+    } /* j */
+        
+    jc[np] = total;
+}
+