Reference Manual HALCON/C

More documents

Recommendations

Info

10 CHAPTER 1. CLASSIFICATION Result write class box returns H MSG TRUE. An exception handling is raised if it was not possible to open file FileName. Parallelization Information write class box is local and processed completely exclusively without parallelization. Possible Predecessor Functions create class box, T enquire class box, T learn class box, test sampset box, write class box Possible Successor Functions close class box, clear sampset create class box, read class box Tools See Also Module HALCON/C Reference Manual / 2000-11-15
Chapter 2 File 2.1 Images read image ( Hobject *Image, const char *FileName ) T read image ( Hobject *Image, Htuple FileName ) Read an image with different file formats. The operator (T )read image reads the indicated image files from the background storage and generates the image. One or more files can be indicated. The region of the generated image object (= all pixels of the matrix) is maximal chosen. All images files written by the operator (T )write image (format ’ima’) have the extension ’.ima’. A description file can be available for every image in HALCON format (same file name with extension ’.exp’). The type of the pixel data (byte, int4, real) can also be taken from the description file. If this information is not available the type byte is used as presetting. Besides the HALCON format TIFF, GIF, BMP, JPEG, PCX, SUN-Raster, PGM, PPM, PBM and XWD files can also be read. The gray values of PBM images are set at the values 0 and 255. The file formats are either recognized by the extension (if indicated) or because of the internal structure of the files. If the extension is indicated the image can be found faster. In case of PGM, PPM and PBM the corresponding extension (e.g. ’pgm’) or the general value ’pnm’ can be used. In case of TIFF ’tiff’ and ’tif’ are accepted. In case of colored images an image with three color channels (matrices) is created, the red channel being stored in the first, the blue channel in the second and the green channel in the third component (channel number). Image files are searched in the current directory (determined by the environment variable) and in the image directory of HALCON . The image directory of HALCON is preset at ’.’ and ’/usr/local/halcon/images’ in a UNIX environment and can be set via the operator set system. More than one image directory can be indicated. This is done by separating the individual directories by a colon. Furthermore the search path can be set via the environment variable HALCONIMAGES (same structure as ’image dir’). Example: setenv HALCONIMAGES "/usr/images:/usr/local/halcon/images"\\* HALCON also searches images in the subdirectory ”‘images”’ (Images for the program examples). The environment variable HALCONROOT is used for the HALCON directory. Parameter º Image (output object) ...........................................image Hobject * : byte / int4 / real º FileName (input control) ...................................filename(-array) (Htuple .) const char * Default Value : ’fabrik’ Value Suggestions : FileName ¾’monkey’, ’fabrik’, ’mreut’ 11
Page 1 and 2: HALCON Version 6.0 MVTec Software G
Page 3 and 4: Contents 1 Classification 1 clear s
Page 5 and 6: Contents iii 3.6 Enhancement.......
Page 7 and 8: Contents v draw polygon ...........
Page 9 and 10: Contents vii clear window .........
Page 11 and 12: Contents ix open framegrabber .....
Page 13 and 14: Contents xi T get region contour ..
Page 15 and 16: Contents xiii eliminate runs ......
Page 17 and 18: Contents xv receive xld ...........
Page 19 and 20: Contents xvii distance pp .........
Page 21 and 22: Contents xix tuple add ............
Page 23 and 24: Contents xxi T tuple mean .........
Page 25 and 26: Chapter 1 Classification clear samp
Page 27 and 28: 3 Parameter º ClassifHandle (input
Page 29 and 30: 5 ’split error’ = 0.1, ’prop
Page 31 and 32: 7 Possible Successor Functions test
Page 33: 9 Possible Predecessor Functions cr
Page 37 and 38: 2.1. IMAGES 13 ’long’. If a who
Page 39 and 40: 2.2. MISC 15 Parameter º Image (in
Page 41 and 42: 2.4. TEXT 17 Result If the paramete
Page 43 and 44: 2.4. TEXT 19 Result If an output fi
Page 45 and 46: 2.4. TEXT 21 Example fwrite_string(
Page 47 and 48: 2.6. XLD 23 See Also (T )write tupl
Page 49 and 50: 2.6. XLD 25 Parallelization Informa
Page 51 and 52: Chapter 3 Filter 3.1 Affine-Transfo
Page 53 and 54: 3.1. AFFINE-TRANSFORMATIONS 29 Imag
Page 55 and 56: 3.1. AFFINE-TRANSFORMATIONS 31 Para
Page 57 and 58: 3.2. ARITHMETIC 33 º Interpolation
Page 59 and 60: 3.2. ARITHMETIC 35 Image filters Mo
Page 61 and 62: 3.2. ARITHMETIC 37 Attention The tw
Page 63 and 64: 3.2. ARITHMETIC 39 Result The opera
Page 65 and 66: 3.3. BIT 41 Result The operator sub
Page 67 and 68: 3.3. BIT 43 Parameter º Image (inp
Page 69 and 70: 3.3. BIT 45 Parameter º Image (inp
Page 71 and 72: 3.4. COLOR 47 Parallelization Infor
Page 73 and 74: 3.4. COLOR 49 ’hls’ ’hsi’
Page 75 and 76: 3.4. COLOR 51 ’i1i2i3’ ’ciexy
Page 77 and 78: 3.4. COLOR 53 ’hsi’ elif (Hi ==
Page 79 and 80: 3.5. EDGES 55 3.5 Edges close edges
Page 81 and 82: 3.5. EDGES 57 close edges, dilation
Page 83 and 84: 3.5. EDGES 59 Parameter º Image (i
Page 85 and 86:
3.5. EDGES 61 The edge amplitudes (
Page 87 and 88:
3.5. EDGES 63 Alternatives sobel di
Page 89 and 90:
3.5. EDGES 65 Result edges sub pix
Page 91 and 92:
3.5. EDGES 67 Parameter º Image (i
Page 93 and 94:
3.5. EDGES 69 Parameter º Filter (
Page 95 and 96:
3.5. EDGES 71 ¿ ¿ ¼ ¿ ¿ ¿
Page 97 and 98:
3.5. EDGES 73 Example read_image(&I
Page 99 and 100:
3.5. EDGES 75 Alternatives sobel am
Page 101 and 102:
3.5. EDGES 77 threshold, skeleton P
Page 103 and 104:
3.5. EDGES 79 Alternatives edges im
Page 105 and 106:
3.5. EDGES 81 The edge directions a
Page 107 and 108:
3.6. ENHANCEMENT 83 behavior in cas
Page 109 and 110:
3.7. FFT 85 Result If the parameter
Page 111 and 112:
3.7. FFT 87 º ImageResultHilbert (
Page 113 and 114:
3.7. FFT 89 º Direction (input con
Page 115 and 116:
3.7. FFT 91 Example fft_image(Image
Page 117 and 118:
3.7. FFT 93 º MaxFrequency (input
Page 119 and 120:
3.7. FFT 95 º Angle (input control
Page 121 and 122:
3.7. FFT 97 Parameter º ImageLowpa
Page 123 and 124:
3.7. FFT 99 º Size (input control)
Page 125 and 126:
3.7. FFT 101 Ô ÖÐÔÖØ¾ · Ñ
Page 127 and 128:
3.8. LINES 103 3.8 Lines bandpass i
Page 129 and 130:
3.8. LINES 105 input is empty the b
Page 131 and 132:
3.9. MATCH 107 º CompleteJunctions
Page 133 and 134:
3.9. MATCH 109 º Row (output contr
Page 135 and 136:
3.9. MATCH 111 Parameter º ImagePy
Page 137 and 138:
3.9. MATCH 113 best match rot mg (
Page 139 and 140:
3.9. MATCH 115 whereby Á is the in
Page 141 and 142:
3.9. MATCH 117 º TemplateID (outpu
Page 143 and 144:
3.9. MATCH 119 ’dfd’ Calculatin
Page 145 and 146:
3.9. MATCH 121 draw_rectangle2(Wind
Page 147 and 148:
3.9. MATCH 123 º MaxError (input c
Page 149 and 150:
3.9. MATCH 125 Parallelization Info
Page 151 and 152:
3.9. MATCH 127 º SizeWindow (input
Page 153 and 154:
3.10. MISC 129 Parameter º Templat
Page 155 and 156:
3.10. MISC 131 º ExpansionRange (i
Page 157 and 158:
3.10. MISC 133 Example /* Seeking l
Page 159 and 160:
3.10. MISC 135 º Direction (input
Page 161 and 162:
3.11. NOISE 137 Parallelization Inf
Page 163 and 164:
3.11. NOISE 139 Parameter º ConstR
Page 165 and 166:
3.12. SMOOTHING 141 º Mode (input
Page 167 and 168:
3.12. SMOOTHING 143 Bibliography M.
Page 169 and 170:
3.12. SMOOTHING 145 read image, gra
Page 171 and 172:
3.12. SMOOTHING 147 mean image ( Ho
Page 173 and 174:
3.12. SMOOTHING 149 º MaskHeight (
Page 175 and 176:
3.12. SMOOTHING 151 median separate
Page 177 and 178:
3.12. SMOOTHING 153 Alternatives me
Page 179 and 180:
3.12. SMOOTHING 155 draw_region(&Re
Page 181 and 182:
3.12. SMOOTHING 157 Non-recursive f
Page 183 and 184:
3.13. TEXTURE 159 Possible Successo
Page 185 and 186:
3.13. TEXTURE 161 texture laws ( Ho
Page 187 and 188:
3.14. WIENER-FILTER 163 ¯ first re
Page 189 and 190:
3.14. WIENER-FILTER 165 º Type (in
Page 191 and 192:
3.14. WIENER-FILTER 167 Result simu
Page 193 and 194:
3.14. WIENER-FILTER 169 Bibliograph
Page 195 and 196:
3.14. WIENER-FILTER 171 Possible Pr
Page 197 and 198:
Chapter 4 Graphics 4.1 Drawing drag
Page 199 and 200:
4.1. DRAWING 175 Alternatives get m
Page 201 and 202:
4.1. DRAWING 177 To create a circle
Page 203 and 204:
4.1. DRAWING 179 To create an ellip
Page 205 and 206:
4.1. DRAWING 181 draw line mod ( lo
Page 207 and 208:
4.1. DRAWING 183 Possible Successor
Page 209 and 210:
4.1. DRAWING 185 draw rectangle1 re
Page 211 and 212:
4.1. DRAWING 187 Parallelization In
Page 213 and 214:
4.1. DRAWING 189 Alternatives draw
Page 215 and 216:
4.2. GNUPLOT 191 See Also gnuplot o
Page 217 and 218:
4.3. LUT 193 Parameter º Image (in
Page 219 and 220:
4.3. LUT 195 By pressing and holdin
Page 221 and 222:
4.3. LUT 197 set lut style, (T )set
Page 223 and 224:
4.3. LUT 199 ’sqrt’: Gray value
Page 225 and 226:
4.3. LUT 201 Example read_image(&Im
Page 227 and 228:
4.4. MOUSE 203 get mposition ( long
Page 229 and 230:
4.5. OUTPUT 205 Parameter º Window
Page 231 and 232:
4.5. OUTPUT 207 The size of the arr
Page 233 and 234:
4.5. OUTPUT 209 disp circle ( long
Page 235 and 236:
4.5. OUTPUT 211 T disp distribution
Page 237 and 238:
4.5. OUTPUT 213 Parallelization Inf
Page 239 and 240:
4.5. OUTPUT 215 º Column2 (input c
Page 241 and 242:
4.5. OUTPUT 217 { long Row2, long C
Page 243 and 244:
4.5. OUTPUT 219 disp rectangle2 ( l
Page 245 and 246:
4.6. PARAMETERS 221 set_s(Color,"re
Page 247 and 248:
4.6. PARAMETERS 223 Parameter º Wi
Page 249 and 250:
4.6. PARAMETERS 225 get line approx
Page 251 and 252:
4.6. PARAMETERS 227 get part return
Page 253 and 254:
4.6. PARAMETERS 229 T set rgb Syste
Page 255 and 256:
4.6. PARAMETERS 231 (T )set color,
Page 257 and 258:
4.6. PARAMETERS 233 Result query li
Page 259 and 260:
4.6. PARAMETERS 235 disp region T s
Page 261 and 262:
4.6. PARAMETERS 237 System Module s
Page 263 and 264:
4.6. PARAMETERS 239 º GrayValues (
Page 265 and 266:
4.6. PARAMETERS 241 draw_region(&Re
Page 267 and 268:
4.6. PARAMETERS 243 T get line styl
Page 269 and 270:
4.6. PARAMETERS 245 In mode ’mean
Page 271 and 272:
4.6. PARAMETERS 247 ’median cut
Page 273 and 274:
4.6. PARAMETERS 249 º Column1 (inp
Page 275 and 276:
4.6. PARAMETERS 251 System Module T
Page 277 and 278:
4.7. TEXT 253 4.7 Text get font ( l
Page 279 and 280:
4.7. TEXT 255 Possible Predecessor
Page 281 and 282:
4.7. TEXT 257 open window, open tex
Page 283 and 284:
4.7. TEXT 259 open textwindow, set
Page 285 and 286:
4.7. TEXT 261 Parameter º WindowHa
Page 287 and 288:
4.8. WINDOW 263 /* "Interactiv" era
Page 289 and 290:
4.8. WINDOW 265 º Column1 (input c
Page 291 and 292:
4.8. WINDOW 267 disp_region(Regions
Page 293 and 294:
4.8. WINDOW 269 get window type det
Page 295 and 296:
4.8. WINDOW 271 new extern window (
Page 297 and 298:
4.8. WINDOW 273 /* here you can dra
Page 299 and 300:
4.8. WINDOW 275 ’transparent’:
Page 301 and 302:
4.8. WINDOW 277 open window ( long
Page 303 and 304:
4.8. WINDOW 279 º Column (input co
Page 305 and 306:
4.8. WINDOW 281 ’background color
Page 307 and 308:
4.8. WINDOW 283 º Width (input con
Page 309 and 310:
Chapter 5 Image 5.1 Channel access
Page 311 and 312:
5.1. CHANNEL 287 Parameter º Image
Page 313 and 314:
5.1. CHANNEL 289 compose6 ( Hobject
Page 315 and 316:
5.1. CHANNEL 291 The operator decom
Page 317 and 318:
5.1. CHANNEL 293 Possible Predecess
Page 319 and 320:
5.2. CREATION 295 Image / region /
Page 321 and 322:
5.2. CREATION 297 void ClearProc(vo
Page 323 and 324:
5.2. CREATION 299 º DoCopy (input
Page 325 and 326:
5.2. CREATION 301 See Also reduce d
Page 327 and 328:
5.2. CREATION 303 º Column (input
Page 329 and 330:
5.2. CREATION 305 º Delta (input c
Page 331 and 332:
5.2. CREATION 307 º ForegroundGray
Page 333 and 334:
5.3. DOMAIN 309 region to mean retu
Page 335 and 336:
5.3. DOMAIN 311 Parameter º Image
Page 337 and 338:
5.4. FEATURES 313 5.4 Features area
Page 339 and 340:
5.4. FEATURES 315 cooc feature matr
Page 341 and 342:
5.4. FEATURES 317 entropy gray ( Ho
Page 343 and 344:
5.4. FEATURES 319 Parallelization I
Page 345 and 346:
5.4. FEATURES 321 º Cpar (input co
Page 347 and 348:
5.4. FEATURES 323 Input image with
Page 349 and 350:
5.4. FEATURES 325 º HorProjection
Page 351 and 352:
5.4. FEATURES 327 The operator (T )
Page 353 and 354:
5.4. FEATURES 329 Possible Predeces
Page 355 and 356:
5.4. FEATURES 331 º Operation (inp
Page 357 and 358:
5.5. FORMAT 333 The histogram can a
Page 359 and 360:
5.5. FORMAT 335 The operator crop p
Page 361 and 362:
5.5. FORMAT 337 º NumColumns (inpu
Page 363 and 364:
5.5. FORMAT 339 Parameter º Images
Page 365 and 366:
5.6. FRAMEGRABBER 341 (T )open fram
Page 367 and 368:
5.6. FRAMEGRABBER 343 Example /* Se
Page 369 and 370:
5.6. FRAMEGRABBER 345 Parallelizati
Page 371 and 372:
5.6. FRAMEGRABBER 347 The operator
Page 373 and 374:
5.6. FRAMEGRABBER 349 º Horizontal
Page 375 and 376:
5.7. MANIPULATION 351 Possible Succ
Page 377 and 378:
5.7. MANIPULATION 353 Parameter º
Page 379 and 380:
5.7. MANIPULATION 355 Parameter º
Page 381 and 382:
5.7. MANIPULATION 357 Result paint
Page 383 and 384:
5.8. TYPE-CONVERSION 359 scale imag
Page 385 and 386:
Chapter 6 Lines 6.1 Access T approx
Page 387 and 388:
6.1. ACCESS 363 º MaxWidthCurve (i
Page 389 and 390:
6.1. ACCESS 365 The contour of a cu
Page 391 and 392:
6.2. FEATURES 367 See Also (T )line
Page 393 and 394:
6.2. FEATURES 369 º FailColBOut (o
Page 395 and 396:
6.2. FEATURES 371 º RowEndIn (inpu
Page 397 and 398:
Chapter 7 Morphology 7.1 Gray-Value
Page 399 and 400:
7.1. GRAY-VALUES 375 the maximum gr
Page 401 and 402:
7.1. GRAY-VALUES 377 Image filters
Page 403 and 404:
7.1. GRAY-VALUES 379 See Also gray
Page 405 and 406:
7.1. GRAY-VALUES 381 Result gray ra
Page 407 and 408:
7.2. REGION 383 Example threshold(I
Page 409 and 410:
7.2. REGION 385 Structuring element
Page 411 and 412:
7.2. REGION 387 closing golay ( Hob
Page 413 and 414:
7.2. REGION 389 closing Alternative
Page 415 and 416:
7.2. REGION 391 º Column (input co
Page 417 and 418:
7.2. REGION 393 dilation golay dila
Page 419 and 420:
7.2. REGION 395 ¯ no region: set s
Page 421 and 422:
7.2. REGION 397 º Iterations (inpu
Page 423 and 424:
7.2. REGION 399 erosion circle ( Ho
Page 425 and 426:
7.2. REGION 401 ¯ empty region: se
Page 427 and 428:
7.2. REGION 403 Result erosion seq
Page 429 and 430:
7.2. REGION 405 Possible Successor
Page 431 and 432:
7.2. REGION 407 ¯ ¯ Æ ¡ ¯ ¡
Page 433 and 434:
7.2. REGION 409 Ô Ô Ç ¡ ½·
Page 435 and 436:
7.2. REGION 411 Ç´Ê ¡ ¡ Ô
Page 437 and 438:
7.2. REGION 413 An empty region is
Page 439 and 440:
Page 441 and 442:
7.2. REGION 417 Example my_morph_ha
Page 443 and 444:
Page 445 and 446:
7.2. REGION 421 º Radius (input co
Page 447 and 448:
7.2. REGION 423 See Also erosion go
Page 449 and 450:
Page 451 and 452:
7.2. REGION 427 Ç ÁØÖØÓÒ×
Page 453 and 454:
7.2. REGION 429 Complexity Let be
Page 455 and 456:
7.2. REGION 431 Attention Not all v
Page 457 and 458:
7.2. REGION 433 top hat ( Hobject R
Page 459 and 460:
Chapter 8 Object 8.1 Information co
Page 461 and 462:
8.1. INFORMATION 437 Parameter º O
Page 463 and 464:
8.2. MANIPULATION 439 err = test_ob
Page 465 and 466:
8.2. MANIPULATION 441 Basic operato
Page 467 and 468:
8.2. MANIPULATION 443 T obj to inte
Page 469 and 470:
Chapter 9 Regions 9.1 Access T get
Page 471 and 472:
9.1. ACCESS 447 operator T get regi
Page 473 and 474:
9.2. AFFINE-TRANSFORMATIONS 449 T g
Page 475 and 476:
9.2. AFFINE-TRANSFORMATIONS 451 Par
Page 477 and 478:
9.2. AFFINE-TRANSFORMATIONS 453 Par
Page 479 and 480:
9.3. CREATION 455 º WidthPattern (
Page 481 and 482:
9.3. CREATION 457 Region processing
Page 483 and 484:
9.3. CREATION 459 gen grid region (
Page 485 and 486:
9.3. CREATION 461 Complexity The wo
Page 487 and 488:
9.3. CREATION 463 gen rectangle1 (
Page 489 and 490:
9.3. CREATION 465 º Length1 (input
Page 491 and 492:
9.3. CREATION 467 Parallelization I
Page 493 and 494:
9.3. CREATION 469 paint region, red
Page 495 and 496:
9.3. CREATION 471 See Also T gen re
Page 497 and 498:
9.4. FEATURES 473 Region processing
Page 499 and 500:
9.4. FEATURES 475 compactness ( Hob
Page 501 and 502:
9.4. FEATURES 477 } HWindow w; HReg
Page 503 and 504:
9.4. FEATURES 479 º Diameter (outp
Page 505 and 506:
9.4. FEATURES 481 Example read_imag
Page 507 and 508:
9.4. FEATURES 483 See Also T spatia
Page 509 and 510:
9.4. FEATURES 485 Parameter º Regi
Page 511 and 512:
9.4. FEATURES 487 Parameter º Regi
Page 513 and 514:
9.4. FEATURES 489 The operator (T )
Page 515 and 516:
9.4. FEATURES 491 º M03 (output co
Page 517 and 518:
9.4. FEATURES 493 Complexity If is
Page 519 and 520:
9.4. FEATURES 495 Alternatives (T )
Page 521 and 522:
9.4. FEATURES 497 runlength feature
Page 523 and 524:
9.4. FEATURES 499 Region processing
Page 525 and 526:
9.4. FEATURES 501 ’holes num’:
Page 527 and 528:
9.4. FEATURES 503 select shape prot
Page 529 and 530:
9.4. FEATURES 505 Possible Predeces
Page 531 and 532:
9.4. FEATURES 507 Alternatives (T )
Page 533 and 534:
9.4. FEATURES 509 the regions that
Page 535 and 536:
9.5. SETS 511 If the system flag
Page 537 and 538:
9.5. SETS 513 Region processing Mod
Page 539 and 540:
9.6. TRANSFORMATION 515 Paralleliza
Page 541 and 542:
9.6. TRANSFORMATION 517 Result clip
Page 543 and 544:
9.6. TRANSFORMATION 519 Image / reg
Page 545 and 546:
9.6. TRANSFORMATION 521 Result elim
Page 547 and 548:
9.6. TRANSFORMATION 523 fill up sha
Page 549 and 550:
9.6. TRANSFORMATION 525 (T )select
Page 551 and 552:
9.6. TRANSFORMATION 527 Possible Su
Page 553 and 554:
9.6. TRANSFORMATION 529 Parameter
Page 555 and 556:
Page 557 and 558:
9.6. TRANSFORMATION 533 sort region
Page 559 and 560:
9.6. TRANSFORMATION 535 split skele
Page 561 and 562:
Chapter 10 Segmentation auto thresh
Page 563 and 564:
539 gray value to the “left” of
Page 565 and 566:
541 º AddRow (input control) .....
Page 567 and 568:
543 class 2dim unsup ( Hobject Imag
Page 569 and 570:
545 See Also class ndim box, descri
Page 571 and 572:
547 Parameter º Image (input objec
Page 573 and 574:
549 º Threshold (input control) ..
Page 575 and 576:
551 Possible Successor Functions co
Page 577 and 578:
553 The expansion takes place only
Page 579 and 580:
555 º Threshold (input control) ..
Page 581 and 582:
557 º MaxThresh (output control) .
Page 583 and 584:
559 behavior with respect to the in
Page 585 and 586:
561 Parallelization Information loc
Page 587 and 588:
563 plateaus ( Hobject Image, Hobje
Page 589 and 590:
565 º MinGray (input control) ....
Page 591 and 592:
567 º Tolerance (input control) ..
Page 593 and 594:
569 regiongrowing n performs a mult
Page 595 and 596:
571 ’gray-min-ratio’: Ratio of
Page 597 and 598:
573 Alternatives class 2dim sup, (T
Page 599 and 600:
575 watersheds ( Hobject GrayImage,
Page 601 and 602:
577 derivate_gauss(Image,&Gradient,
Page 603 and 604:
Chapter 11 System 11.1 Database cou
Page 605 and 606:
11.1. DATABASE 581 Parameter º Use
Page 607 and 608:
11.2. ERROR-HANDLING 583 Example He
Page 609 and 610:
11.2. ERROR-HANDLING 585 ’data’
Page 611 and 612:
11.3. INFORMATION 587 Value: ’on
Page 613 and 614:
11.3. INFORMATION 589 See Also T ge
Page 615 and 616:
11.3. INFORMATION 591 The operator
Page 617 and 618:
11.3. INFORMATION 593 See Also T qu
Page 619 and 620:
11.3. INFORMATION 595 ’default’
Page 621 and 622:
11.4. OPERATING-SYSTEM 597 Attentio
Page 623 and 624:
11.5. PARALLELIZATION 599 the proce
Page 625 and 626:
11.6. PARAMETERS 601 ’max inp obj
Page 627 and 628:
11.6. PARAMETERS 603 ’operating s
Page 629 and 630:
11.6. PARAMETERS 605 ’store empty
Page 631 and 632:
11.6. PARAMETERS 607 ’do low erro
Page 633 and 634:
11.7. SERIAL 609 close serial ( lon
Page 635 and 636:
11.7. SERIAL 611 Parameter º Seria
Page 637 and 638:
11.8. SOCKETS 613 Parallelization I
Page 639 and 640:
11.8. SOCKETS 615 send_tuple (Socke
Page 641 and 642:
11.8. SOCKETS 617 receive tuple ( l
Page 643 and 644:
11.8. SOCKETS 619 Parallelization I
Page 645 and 646:
Chapter 12 Tools 12.1 Affine-Transf
Page 647 and 648:
12.1. AFFINE-TRANSFORMATIONS 623 º
Page 649 and 650:
Page 651 and 652:
12.1. AFFINE-TRANSFORMATIONS 627 Pa
Page 653 and 654:
12.1. AFFINE-TRANSFORMATIONS 629 T
Page 655 and 656:
12.1. AFFINE-TRANSFORMATIONS 631 Po
Page 657 and 658:
12.1. AFFINE-TRANSFORMATIONS 633 ¼
Page 659 and 660:
Page 661 and 662:
12.1. AFFINE-TRANSFORMATIONS 637 ::
Page 663 and 664:
12.1. AFFINE-TRANSFORMATIONS 639 T
Page 665 and 666:
12.2. BACKGROUND-ESTIMATOR 641 clos
Page 667 and 668:
12.2. BACKGROUND-ESTIMATOR 643 º G
Page 669 and 670:
12.2. BACKGROUND-ESTIMATOR 645 disp
Page 671 and 672:
12.2. BACKGROUND-ESTIMATOR 647 read
Page 673 and 674:
12.2. BACKGROUND-ESTIMATOR 649 run_
Page 675 and 676:
12.3. BARCODE 651 º IsCorrect (out
Page 677 and 678:
12.3. BARCODE 653 HTuple HTuple HTu
Page 679 and 680:
12.3. BARCODE 655 and is thus small
Page 681 and 682:
12.3. BARCODE 657 T find 1d bar cod
Page 683 and 684:
12.3. BARCODE 659 ’compactness ma
Page 685 and 686:
12.3. BARCODE 661 º CodeRegDescr (
Page 687 and 688:
12.3. BARCODE 663 º StopElement (i
Page 689 and 690:
12.3. BARCODE 665 Parameter º Code
Page 691 and 692:
12.3. BARCODE 667 size of the data
Page 693 and 694:
12.3. BARCODE 669 automatically set
Page 695 and 696:
12.3. BARCODE 671 encompass regions
Page 697 and 698:
12.4. CALIBRATION 673 Example HTupl
Page 699 and 700:
12.4. CALIBRATION 675 T camera cali
Page 701 and 702:
12.4. CALIBRATION 677 also can use
Page 703 and 704:
12.4. CALIBRATION 679 Parameter º
Page 705 and 706:
12.4. CALIBRATION 681 The operator
Page 707 and 708:
12.4. CALIBRATION 683 create caltab
Page 709 and 710:
12.4. CALIBRATION 685 // create cal
Page 711 and 712:
12.4. CALIBRATION 687 Ê´¾µ ¼
Page 713 and 714:
12.4. CALIBRATION 689 Type 8: (’R
Page 715 and 716:
12.4. CALIBRATION 691 // get rough
Page 717 and 718:
12.4. CALIBRATION 693 find caltab i
Page 719 and 720:
12.4. CALIBRATION 695 º Alpha (inp
Page 721 and 722:
12.4. CALIBRATION 697 T affine tran
Page 723 and 724:
12.4. CALIBRATION 699 È Ê ¡
Page 725 and 726:
12.4. CALIBRATION 701 T create pose
Page 727 and 728:
12.4. CALIBRATION 703 º MinError (
Page 729 and 730:
12.4. CALIBRATION 705 Parameter º
Page 731 and 732:
12.4. CALIBRATION 707 of the transl
Page 733 and 734:
12.4. CALIBRATION 709 ::pose_to_hom
Page 735 and 736:
12.4. CALIBRATION 711 Camera calibr
Page 737 and 738:
12.4. CALIBRATION 713 In the simula
Page 739 and 740:
12.4. CALIBRATION 715 Ù ½· Ù
Page 741 and 742:
12.4. CALIBRATION 717 r -17.8134 1.
Page 743 and 744:
12.5. FOURIER-DESCRIPTOR 719 º Rea
Page 745 and 746:
12.5. FOURIER-DESCRIPTOR 721 disp p
Page 747 and 748:
12.5. FOURIER-DESCRIPTOR 723 T move
Page 749 and 750:
12.6. FUNCTION 725 Possible Success
Page 751 and 752:
12.6. FUNCTION 727 Parallelization
Page 753 and 754:
Page 755 and 756:
Page 757 and 758:
12.6. FUNCTION 733 The operator T w
Page 759 and 760:
12.7. GEOMETRY 735 RowB1 := 255 Col
Page 761 and 762:
12.7. GEOMETRY 737 dev_set_color (
Page 763 and 764:
12.7. GEOMETRY 739 distance pr ( Ho
Page 765 and 766:
12.7. GEOMETRY 741 distance rr min
Page 767 and 768:
12.7. GEOMETRY 743 Parameter º Row
Page 769 and 770:
12.7. GEOMETRY 745 The operator (T
Page 771 and 772:
12.7. GEOMETRY 747 Basic operators
Page 773 and 774:
12.8. HOUGH 749 Basic operators Mod
Page 775 and 776:
12.8. HOUGH 751 The maxima in the r
Page 777 and 778:
12.9. KALMAN-FILTER 753 º LineWidt
Page 779 and 780:
12.9. KALMAN-FILTER 755 1. Developi
Page 781 and 782:
12.9. KALMAN-FILTER 757 extract_nex
Page 783 and 784:
12.9. KALMAN-FILTER 759 º Measurem
Page 785 and 786:
12.9. KALMAN-FILTER 761 Many system
Page 787 and 788:
12.10. MATCHING 763 See Also T read
Page 789 and 790:
12.10. MATCHING 765 º Optimization
Page 791 and 792:
12.10. MATCHING 767 º SubPixel (in
Page 793 and 794:
12.11. MEASURE 769 write shape mode
Page 795 and 796:
12.11. MEASURE 771 º AnnulusRadius
Page 797 and 798:
12.11. MEASURE 773 º Height (input
Page 799 and 800:
12.11. MEASURE 775 edges sub pix, T
Page 801 and 802:
12.11. MEASURE 777 º MeasureHandle
Page 803 and 804:
12.12. OCR 779 The operator (T )app
Page 805 and 806:
12.12. OCR 781 T concat ocr trainf
Page 807 and 808:
12.12. OCR 783 º Features (input c
Page 809 and 810:
12.12. OCR 785 T do ocr single ( Ho
Page 811 and 812:
12.12. OCR 787 write ocr Optical ch
Page 813 and 814:
12.12. OCR 789 T read ocr trainf (
Page 815 and 816:
12.12. OCR 791 The operator (T )tes
Page 817 and 818:
12.12. OCR 793 Example HTuple FileN
Page 819 and 820:
12.13. OCV 795 Optical character re
Page 821 and 822:
12.13. OCV 797 The pattern comparis
Page 823 and 824:
12.13. OCV 799 read ocv ( const cha
Page 825 and 826:
12.14. SHAPE-FROM 801 Result write
Page 827 and 828:
12.14. SHAPE-FROM 803 (T )estimate
Page 829 and 830:
12.14. SHAPE-FROM 805 corresponding
Page 831 and 832:
12.14. SHAPE-FROM 807 º Tilt (inpu
Page 833 and 834:
12.14. SHAPE-FROM 809 and Tilt. The
Page 835 and 836:
12.14. SHAPE-FROM 811 Parallelizati
Page 837 and 838:
Chapter 13 Tuple 13.1 Arithmetic tu
Page 839 and 840:
13.1. ARITHMETIC 815 Parallelizatio
Page 841 and 842:
13.1. ARITHMETIC 817 tuple div ( do
Page 843 and 844:
13.1. ARITHMETIC 819 (T )tuple ldex
Page 845 and 846:
13.1. ARITHMETIC 821 Parameter º T
Page 847 and 848:
13.1. ARITHMETIC 823 tuple sqrt ( d
Page 849 and 850:
13.2. BIT-OPERATIONS 825 Parameter
Page 851 and 852:
13.2. BIT-OPERATIONS 827 tuples are
Page 853 and 854:
13.3. COMPARISON 829 Operators not
Page 855 and 856:
13.4. CONVERSION 831 Parameter º T
Page 857 and 858:
13.4. CONVERSION 833 Parameter º T
Page 859 and 860:
13.4. CONVERSION 835 tuple string (
Page 861 and 862:
13.6. ELEMENT-ORDER 837 (T )tuple g
Page 863 and 864:
13.7. FEATURES 839 Parameter º T (
Page 865 and 866:
13.7. FEATURES 841 (T )tuple max re
Page 867 and 868:
13.8. LOGICAL-OPERATIONS 843 Parame
Page 869 and 870:
13.9. SELECTION 845 (T )tuple first
Page 871 and 872:
13.10. STRING-OPERATORS 847 tuple s
Page 873 and 874:
13.10. STRING-OPERATORS 849 º Subs
Page 875 and 876:
13.10. STRING-OPERATORS 851 case ba
Page 877 and 878:
Chapter 14 XLD 14.1 Access T get co
Page 879 and 880:
14.2. CREATION 855 º Length2 (outp
Page 881 and 882:
14.2. CREATION 857 This means, for
Page 883 and 884:
14.2. CREATION 859 º Phi (input co
Page 885 and 886:
14.2. CREATION 861 Parameter º Con
Page 887 and 888:
14.3. FEATURES 863 º Column (outpu
Page 889 and 890:
14.3. FEATURES 865 º SigmaDist (ou
Page 891 and 892:
14.3. FEATURES 867 Possible Success
Page 893 and 894:
14.3. FEATURES 869 º EndPhi (outpu
Page 895 and 896:
14.3. FEATURES 871 º Dist (output
Page 897 and 898:
14.3. FEATURES 873 which define thi
Page 899 and 900:
14.3. FEATURES 875 º StandardMax (
Page 901 and 902:
14.3. FEATURES 877 mod parallels xl
Page 903 and 904:
14.3. FEATURES 879 Complexity Let
Page 905 and 906:
14.4. TRANSFORMATION 881 º Min2 (i
Page 907 and 908:
14.4. TRANSFORMATION 883 Sub-pixel
Page 909 and 910:
14.4. TRANSFORMATION 885 º CenterL
Page 911 and 912:
14.4. TRANSFORMATION 887 º CurrMer
Page 913 and 914:
14.4. TRANSFORMATION 889 merged to
Page 915 and 916:
Page 917 and 918:
14.4. TRANSFORMATION 893 Percent =
Page 919 and 920:
Index 2D-Transformation, 15, 27, 44
Page 921 and 922:
Index 897 contlength, 476 Contour,
Page 923 and 924:
Index 899 euler number, 481 Evaluat
Page 925 and 926:
Index 901 golay elements, 405 grab
Page 927 and 928:
Index 903 Map, 27, 29-32, 449, 623,
Page 929 and 930:
Index 905 read class box,7 read con
Page 931 and 932:
Index 907 systems, 753, 757, 760 T
Page 933 and 934:
Index 909 T moments xld, 878 T move
Page 935 and 936:
Index 911 traind ocr class box, 791
Page 937:
Index 913 HALCON 6.0
show all

Reference Manual HALCON/C

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?