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00015 #ifndef __CMV_THRESHOLD_H__
00016 #define __CMV_THRESHOLD_H__
00017
00018 #include <stdio.h>
00019 #include "cmv_types.h"
00020
00021 namespace CMVision{
00022
00023 template<int x,int y,int z>
00024 class DummyI3 {
00025 };
00026
00027 template<class T,int x,int y,int z>
00028 class DummyT1I3 {
00029 };
00030
00031 template <class cmap_t,class image,int bits_y,int bits_u,int bits_v>
00032 void ThresholdImage(cmap_t *cmap,image &img,cmap_t *tmap,DummyI3<bits_y,bits_u,bits_v> dummy=DummyI3<bits_y,bits_u,bits_v>())
00033 {
00034
00035 uyvy *buf,p;
00036 int i,m,size;
00037
00038 int rshift_y,rshift_u,rshift_v;
00039 int lshift_y,lshift_u,lshift_v;
00040
00041 rshift_y = 8 - bits_y;
00042 rshift_u = 8 - bits_u;
00043 rshift_v = 8 - bits_v;
00044
00045 lshift_y = bits_u + bits_v;
00046 lshift_u = bits_v;
00047 lshift_v = 0;
00048
00049 size = img.width * img.height;
00050 buf = img.buf;
00051
00052 for(i=0; i<size; i++){
00053 p = buf[i / 2];
00054 m = ((p.u >> rshift_u) << lshift_u) +
00055 ((p.v >> rshift_v) << lshift_v);
00056 cmap[i + 0] = tmap[m + ((p.y1 >> rshift_y) << lshift_y)];
00057 cmap[i + 1] = tmap[m + ((p.y1 >> rshift_y) << lshift_y)];
00058 }
00059 }
00060
00061 template <class cmap_t,class image>
00062 void ThresholdImageRGB16(cmap_t *cmap,image &img,cmap_t *tmap)
00063 {
00064 unsigned short *buf;
00065 int i,size;
00066
00067 size = img.width * img.height;
00068 buf = (unsigned short*)img.buf;
00069
00070 for(i=0; i<size; i++){
00071 cmap[i] = tmap[buf[i]];
00072 }
00073 }
00074
00075
00076 template <class cmap_t,class image,class element,int bits_y,int bits_u,int bits_v>
00077 void ThresholdImageYUVPlanar(cmap_t *cmap,image &img,cmap_t *tmap)
00078 {
00079
00080
00081
00082 int row,col;
00083 int width,height;
00084 int py,pu,pv;
00085 int tmap_idx;
00086 #ifdef CALC_AVG_IMG_COLOR
00087 ulong total_y;
00088 ulong total_u;
00089 ulong total_v;
00090 #endif
00091
00092 int rshift_y,rshift_u,rshift_v;
00093 int lshift_y,lshift_u,lshift_v;
00094
00095 element *row_y,*row_u,*row_v;
00096 cmap_t *row_cmap;
00097
00098 rshift_y = 8 - bits_y;
00099 rshift_u = 8 - bits_u;
00100 rshift_v = 8 - bits_v;
00101
00102 lshift_y = bits_u + bits_v;
00103 lshift_u = bits_v;
00104 lshift_v = 0;
00105
00106 width = img.width;
00107 height = img.height;
00108 #ifdef CALC_AVG_IMG_COLOR
00109 total_y = 0;
00110 total_u = 0;
00111 total_v = 0;
00112 #endif
00113
00114 for(row=0; row<height; row++) {
00115 row_y = img.buf_y + row*img.row_stride;
00116 row_u = img.buf_u + row*img.row_stride;
00117 row_v = img.buf_v + row*img.row_stride;
00118 row_cmap = cmap + row*width;
00119
00120 for(col=0; col<width; col++) {
00121 py = row_y[col] >> rshift_y;
00122 pu = row_u[col] >> rshift_u;
00123 pv = row_v[col] >> rshift_v;
00124 tmap_idx =
00125 (py << lshift_y) +
00126 (pu << lshift_u) +
00127 (pv << lshift_v);
00128 row_cmap[col] = tmap[tmap_idx];
00129 #ifdef CALC_AVG_IMG_COLOR
00130 total_y += row_y[col];
00131 total_u += row_u[col];
00132 total_v += row_v[col];
00133 #endif
00134
00135
00136
00137
00138
00139
00140 }
00141 }
00142
00143 }
00144
00145
00146
00147 template <class rle_t,class color_class_state_t>
00148 void RmapToRgb(rgb *img,rle_t *map,int last_run,int width,int height,
00149 color_class_state_t *color,int num)
00150 {
00151 int i,x,y=0,next_x;
00152
00153 i=0;
00154 next_x=0;
00155 #ifdef ENABLE_JOIN_NEARBY
00156 i=AdvanceToNextRun(i,map);
00157 #endif
00158 while(i < last_run) {
00159 rle_t *currun;
00160 currun = &map[i];
00161
00162 y=currun->y;
00163 if(y>=height) {
00164 return;
00165 }
00166
00167 x=currun->x;
00168 if(x<next_x) {
00169 return;
00170 }
00171
00172 if(x!=next_x) {
00173 for(x=next_x; x<currun->x; x++)
00174 img[y*width + x] = color[0].color;
00175 }
00176
00177 next_x = currun->x+currun->width;
00178 for(x=currun->x; x<next_x; x++)
00179 img[y*width + x] = color[currun->color].color;
00180
00181 if(next_x == width) {
00182 y++;
00183 next_x = 0;
00184 }
00185
00186 i=i+1;
00187 }
00188 for(x=next_x; x<width; x++)
00189 img[y*width + x] = color[0].color;
00190 }
00191
00192 template <class cmap_t>
00193 void RgbToIndex(cmap_t *map,rgb *img,int width,int height,
00194 rgb *colors,int num)
00195 {
00196 int i,j,size;
00197
00198 size = width * height;
00199
00200 j = 0;
00201 for(i=0; i<size; i++){
00202 if(img[i] != colors[j]){
00203 j = 0;
00204 while(j<num && img[i]!=colors[j]) j++;
00205 if(j==num)
00206 j = 0;
00207 }
00208 map[i] = j;
00209 }
00210 }
00211
00212 template <class cmap_t,class color_class_state_t>
00213 void IndexToRgb(rgb *img,cmap_t *map,int width,int height,
00214 color_class_state_t *color,int num)
00215 {
00216 int i,size;
00217
00218 size = width * height;
00219
00220 for(i=0; i<size; i++){
00221 img[i] = color[map[i]].color;
00222 }
00223 }
00224
00225 template <class cmap_t>
00226 void IndexToRgb(rgb *img,cmap_t *map,int width,int height,
00227 rgb *colors,int num)
00228 {
00229 int i,size;
00230
00231 size = width * height;
00232
00233 for(i=0; i<size; i++){
00234 img[i] = colors[map[i]];
00235 }
00236 }
00237
00238 template <class data>
00239 data Get3D(data *arr,int num_i,int num_j,int num_k,int i,int j,int k)
00240 {
00241 int l;
00242 l = i*num_j*num_k + j*num_k + k;
00243 return(arr[l]);
00244 }
00245
00246 template <class data>
00247 void Set3D(data *arr,int num_i,int num_j,int num_k,int i,int j,int k,data v)
00248 {
00249 int l;
00250 l = i*num_j*num_k + j*num_k + k;
00251 arr[l] = v;
00252 }
00253
00254 template <class tmap_t>
00255 int RemapTMapColor(tmap_t *tmap,int num_y,int num_u,int num_v,int src_id,int dest_id)
00256 {
00257 int i,n,size;
00258
00259 size = num_y * num_u * num_v;
00260 n = 0;
00261
00262 for(i=0; i<size; i++){
00263 if(tmap[i] == src_id){
00264 tmap[i] = dest_id;
00265 n++;
00266 }
00267 }
00268
00269 return(n);
00270 }
00271
00272 template <class tmap_t>
00273 int CheckTMapColors(tmap_t *tmap,int num_y,int num_u,int num_v,int colors,int default_id)
00274 {
00275 int i,n,size;
00276
00277 size = num_y * num_u * num_v;
00278 n = 0;
00279
00280 for(i=0; i<size; i++){
00281 if(tmap[i] >= colors){
00282 tmap[i] = default_id;
00283 n++;
00284 }
00285 }
00286
00287 return(n);
00288 }
00289
00290 template <class tmap_t>
00291 bool LoadThresholdFile(tmap_t *tmap,int num_y,int num_u,int num_v,const char *filename)
00292 {
00293 FILE *in;
00294 char buf[256];
00295 int ny,nu,nv;
00296 int size,read;
00297
00298 in = fopen(filename,"r");
00299 if(!in) return(false);
00300
00301
00302 if(!fgets(buf,256,in)) goto error;
00303 buf[4] = 0;
00304 if(strcmp(buf,"TMAP")) goto error;
00305
00306
00307 if(!fgets(buf,256,in)) goto error;
00308
00309
00310 if(!fgets(buf,256,in)) goto error;
00311 ny = nu = nv = 0;
00312 sscanf(buf,"%d %d %d",&ny,&nu,&nv);
00313 if(num_y!=ny || num_u!=nu || num_v!=nv) goto error;
00314
00315 size = num_y * num_u * num_v;
00316 read = fread(tmap,sizeof(tmap_t),size,in);
00317
00318 fclose(in);
00319
00320 return(read == size);
00321 error:
00322 if(in) fclose(in);
00323 return(false);
00324 }
00325
00326 template <class tmap_t>
00327 bool SaveThresholdFile(tmap_t *tmap,int num_y,int num_u,int num_v,char *filename)
00328 {
00329 FILE *out;
00330 int size,wrote;
00331
00332 out = fopen(filename,"w");
00333 if(!out) return(false);
00334
00335 fprintf(out,"TMAP\nYUV%d\n%d %d %d\n",
00336 sizeof(tmap_t),num_y,num_u,num_v);
00337 size = num_y * num_u * num_v;
00338 wrote = fwrite(tmap,sizeof(tmap_t),size,out);
00339 fclose(out);
00340
00341 return(wrote == size);
00342 }
00343
00344 }
00345
00346 #endif