diff options
Diffstat (limited to 'SD-VBS/benchmarks/texture_synthesis/src/matlab/MEX/histo.c')
| -rwxr-xr-x | SD-VBS/benchmarks/texture_synthesis/src/matlab/MEX/histo.c | 140 |
1 files changed, 0 insertions, 140 deletions
diff --git a/SD-VBS/benchmarks/texture_synthesis/src/matlab/MEX/histo.c b/SD-VBS/benchmarks/texture_synthesis/src/matlab/MEX/histo.c deleted file mode 100755 index 43a99c7..0000000 --- a/SD-VBS/benchmarks/texture_synthesis/src/matlab/MEX/histo.c +++ /dev/null | |||
| @@ -1,140 +0,0 @@ | |||
| 1 | /* | ||
| 2 | [N, X] = histo(MTX, NBINS_OR_BINSIZE, BIN_CENTER) | ||
| 3 | >>> See histo.m for documentation <<< | ||
| 4 | EPS, ported from OBVIUS, 3/97. | ||
| 5 | */ | ||
| 6 | |||
| 7 | #define V4_COMPAT | ||
| 8 | #include <matrix.h> /* Matlab matrices */ | ||
| 9 | #include <mex.h> | ||
| 10 | |||
| 11 | #include <stddef.h> /* NULL */ | ||
| 12 | #include <math.h> /* ceil */ | ||
| 13 | |||
| 14 | #define notDblMtx(it) (!mxIsNumeric(it) || !mxIsDouble(it) || mxIsSparse(it) || mxIsComplex(it)) | ||
| 15 | |||
| 16 | #define PAD 0.49999 /* A hair below 1/2, to avoid roundoff errors */ | ||
| 17 | #define MAXBINS 20000 | ||
| 18 | |||
| 19 | void mexFunction(int nlhs, /* Num return vals on lhs */ | ||
| 20 | mxArray *plhs[], /* Matrices on lhs */ | ||
| 21 | int nrhs, /* Num args on rhs */ | ||
| 22 | const mxArray *prhs[] /* Matrices on rhs */ | ||
| 23 | ) | ||
| 24 | { | ||
| 25 | register double temp; | ||
| 26 | register int binnum, i, size; | ||
| 27 | register double *im, binsize; | ||
| 28 | register double origin, *hist, mn, mx, mean; | ||
| 29 | register int nbins; | ||
| 30 | double *bincenters; | ||
| 31 | mxArray *arg; | ||
| 32 | double *mxMat; | ||
| 33 | |||
| 34 | if (nrhs < 1 ) mexErrMsgTxt("requires at least 1 argument."); | ||
| 35 | |||
| 36 | /* ARG 1: MATRIX */ | ||
| 37 | arg = prhs[0]; | ||
| 38 | if notDblMtx(arg) mexErrMsgTxt("MTX arg must be a real non-sparse matrix."); | ||
| 39 | im = mxGetPr(arg); | ||
| 40 | size = (int) mxGetM(arg) * mxGetN(arg); | ||
| 41 | |||
| 42 | /* FIND min, max, mean values of MTX */ | ||
| 43 | mn = *im; mx = *im; binsize = 0; | ||
| 44 | for (i=1; i<size; i++) | ||
| 45 | { | ||
| 46 | temp = im[i]; | ||
| 47 | if (temp < mn) | ||
| 48 | mn = temp; | ||
| 49 | else if (temp > mx) | ||
| 50 | mx = temp; | ||
| 51 | binsize += temp; | ||
| 52 | } | ||
| 53 | mean = binsize / size; | ||
| 54 | |||
| 55 | /* ARG 3: BIN_CENTER */ | ||
| 56 | if (nrhs > 2) | ||
| 57 | { | ||
| 58 | arg = prhs[2]; | ||
| 59 | if notDblMtx(arg) mexErrMsgTxt("BIN_CENTER arg must be a real scalar."); | ||
| 60 | if (mxGetM(arg) * mxGetN(arg) != 1) | ||
| 61 | mexErrMsgTxt("BIN_CENTER must be a real scalar."); | ||
| 62 | mxMat= mxGetPr(arg); | ||
| 63 | origin = *mxMat; | ||
| 64 | } | ||
| 65 | else | ||
| 66 | origin = mean; | ||
| 67 | |||
| 68 | /* ARG 2: If positive, NBINS. If negative, -BINSIZE. */ | ||
| 69 | if (nrhs > 1) | ||
| 70 | { | ||
| 71 | arg = prhs[1]; | ||
| 72 | if notDblMtx(arg) mexErrMsgTxt("NBINS_OR_BINSIZE arg must be a real scalar."); | ||
| 73 | if (mxGetM(arg) * mxGetN(arg) != 1) | ||
| 74 | mexErrMsgTxt("NBINS_OR_BINSIZE must be a real scalar."); | ||
| 75 | mxMat= mxGetPr(arg); | ||
| 76 | binsize = *mxMat; | ||
| 77 | } | ||
| 78 | else | ||
| 79 | { | ||
| 80 | binsize = 101; /* DEFAULT: 101 bins */ | ||
| 81 | } | ||
| 82 | |||
| 83 | /* -------------------------------------------------- | ||
| 84 | Adjust origin, binsize, nbins such that | ||
| 85 | mx <= origin + (nbins-1)*binsize + PAD*binsize | ||
| 86 | mn >= origin - PAD*binsize | ||
| 87 | -------------------------------------------------- */ | ||
| 88 | if (binsize < 0) /* user specified BINSIZE */ | ||
| 89 | { | ||
| 90 | binsize = -binsize; | ||
| 91 | origin -= binsize * ceil((origin-mn-PAD*binsize)/binsize); | ||
| 92 | nbins = (int) ceil((mx-origin-PAD*binsize)/binsize) + 1; | ||
| 93 | } | ||
| 94 | else /* user specified NBINS */ | ||
| 95 | { | ||
| 96 | nbins = (int) (binsize + 0.5); /* round to int */ | ||
| 97 | if (nbins == 0) | ||
| 98 | mexErrMsgTxt("NBINS must be greater than zero."); | ||
| 99 | binsize = (mx-mn)/(nbins-1+2*PAD); /* start with lower bound */ | ||
| 100 | i = ceil((origin-mn-binsize/2)/binsize); | ||
| 101 | if ( mn < (origin-i*binsize-PAD*binsize) ) | ||
| 102 | binsize = (origin-mn)/(i+PAD); | ||
| 103 | else if ( mx > (origin+(nbins-1-i)*binsize+PAD*binsize) ) | ||
| 104 | binsize = (mx-origin)/((nbins-1-i)+PAD); | ||
| 105 | origin -= binsize * ceil((origin-mn-PAD*binsize)/binsize); | ||
| 106 | } | ||
| 107 | |||
| 108 | if (nbins > MAXBINS) | ||
| 109 | { | ||
| 110 | mexPrintf("nbins: %d, MAXBINS: %d\n",nbins,MAXBINS); | ||
| 111 | mexErrMsgTxt("Number of histo bins has exceeded maximum"); | ||
| 112 | } | ||
| 113 | |||
| 114 | /* Allocate hist and xvals */ | ||
| 115 | plhs[0] = (mxArray *) mxCreateDoubleMatrix(1,nbins,mxREAL); | ||
| 116 | if (plhs[0] == NULL) mexErrMsgTxt("Error allocating result matrix"); | ||
| 117 | hist = mxGetPr(plhs[0]); | ||
| 118 | |||
| 119 | if (nlhs > 1) | ||
| 120 | { | ||
| 121 | plhs[1] = (mxArray *) mxCreateDoubleMatrix(1,nbins,mxREAL); | ||
| 122 | if (plhs[1] == NULL) mexErrMsgTxt("Error allocating result matrix"); | ||
| 123 | bincenters = mxGetPr(plhs[1]); | ||
| 124 | for (i=0, temp=origin; i<nbins; i++, temp+=binsize) | ||
| 125 | bincenters[i] = temp; | ||
| 126 | } | ||
| 127 | |||
| 128 | for (i=0; i<size; i++) | ||
| 129 | { | ||
| 130 | binnum = (int) ((im[i] - origin)/binsize + 0.5); | ||
| 131 | if ((binnum < nbins) && (binnum >= 0)) | ||
| 132 | (hist[binnum]) += 1.0; | ||
| 133 | else | ||
| 134 | printf("HISTO warning: value %f outside of range [%f,%f]\n", | ||
| 135 | im[i], origin-0.5*binsize, origin+(nbins-0.5)*binsize); | ||
| 136 | } | ||
| 137 | |||
| 138 | return; | ||
| 139 | } | ||
| 140 | |||
