Knowledge (XXG)

Spatial frequency

Source 📝

406:
frequencies of sine wave gratings. When all of the visual cortex neurons that are influenced by a specific scene respond together, the perception of the scene is created by the summation of the various sine-wave gratings. (This procedure, however, does not address the problem of the organization of the products of the summation into figures, grounds, and so on. It effectively recovers the original (pre-Fourier analysis) distribution of photon intensity and wavelengths across the retinal projection, but does not add information to this original distribution. So the functional value of such a hypothesized procedure is unclear. Some other objections to the "Fourier theory" are discussed by Westheimer (2001) ). One is generally not aware of the individual spatial frequency components since all of the elements are essentially blended together into one smooth representation. However, computer-based filtering procedures can be used to deconstruct an image into its individual spatial frequency components. Research on spatial frequency detection by visual neurons complements and extends previous research using straight edges rather than refuting it.
50: 387:
firing rate of a particular neuron as having a special significance with respect to its role in the perception of a particular stimulus, given that the neural code is known to be linked to relative firing rates. For example, in color coding by the three cones in the human retina, there is no special significance to the cone that is firing most strongly – what matters is the relative rate of firing of all three simultaneously. Teller (1984) similarly noted that a strong firing rate in response to a particular stimulus should not be interpreted as indicating that the neuron is somehow specialized for that stimulus, since there is an unlimited equivalence class of stimuli capable of producing similar firing rates.)
410:
proposed that low spatial frequencies represent global information about the shape, such as general orientation and proportions. Rapid and specialised perception of faces is known to rely more on low spatial frequency information. In the general population of adults, the threshold for spatial frequency discrimination is about 7%. It is often poorer in dyslexic individuals.
386:
than they do to edges or bars. Most neurons in the primary visual cortex respond best when a sine-wave grating of a particular frequency is presented at a particular angle in a particular location in the visual field. (However, as noted by Teller (1984), it is probably not wise to treat the highest
929:
The k-space domain and the space domain form a Fourier pair. Two pieces of information are found in each domain, the spatial information and the spatial frequency information. The spatial information, which is of great interest to all medical doctors, is seen as periodic functions in the k-space
405:
The theory (for which empirical support has yet to be developed) states that in each functional module of the visual cortex, Fourier analysis (or its piecewise form ) is performed on the receptive field and the neurons in each module are thought to respond selectively to various orientations and
409:
Further research shows that different spatial frequencies convey different information about the appearance of a stimulus. High spatial frequencies represent abrupt spatial changes in the image, such as edges, and generally correspond to featural information and fine detail. M. Bar (2004) has
440:
It is very common that the raw data in k-space shows features of periodic functions. The periodicity is not spatial frequency, but is temporal frequency. An MRI raw data matrix is composed of a series of phase-variable spin-echo signals. Each of the spin-echo signal is a
524: 930:
domain and is seen as the image in the space domain. The spatial frequency information, which might be of interest to some MRI engineers, is not easily seen in the space domain but is readily seen as the data points in the k-space domain.
61:
Image and its spatial frequencies: Magnitude of frequency domain is logarithmically scaled, and zero frequency is in the center. Notable is the clustering of the content on the lower frequencies, a typical property of natural
589: 910: 448: 318: 382:
in the cat. In support of this theory is the experimental observation that the visual cortex neurons respond even more robustly to sine-wave gratings that are placed at specific angles in their
36: 241: 742: 771: 704: 647: 847: 806: 49: 618: 165: 675: 529: 1249: 1035: 205: 185: 982: 261: 852: 378:
operates on a code of spatial frequency, not on the code of straight edges and lines hypothesised by Hubel and Wiesel on the basis of early experiments on
1269: 1234: 437:
as a raw data storage space. The value of each data point in k-space is measured in the unit of 1/meter, i.e. the unit of spatial frequency.
419: 270: 428: 358:. Sine-wave gratings also differ from one another in amplitude (the magnitude of difference in intensity between light and dark stripes), 1226:
Vision: How Global Perceptual Context Changes Local Contrast Processing (Ph.D. Dissertation 2003). Updated for Computer Vision Techniques
1344:
Awasthi B, Friedman J, Williams MA (2011). "Faster, stronger, lateralized: Low spatial frequency information supports face processing".
1289: 926:
but not as the "spatial frequency", since "spatial frequency" is reserved for the name of the periodicity seen in the real space r.
210: 1481: 35: 519:{\displaystyle {\text{Spin-Echo}}={\frac {M_{\mathrm {0} }\sin \omega _{\mathrm {r} }t}{\omega _{\mathrm {r} }t}}} 712: 394:
Any visual stimulus can be represented by plotting the intensity of the light along lines running through it.
747: 680: 623: 112: 811: 359: 776: 347: 1224: 427:
When spatial frequency is used as a variable in a mathematical function, the function is said to be in
594: 1439: 343: 1210:
Glezer, V. D. (1995). Vision and mind: Modeling mental functions. Lawrence Erlbaum Associates, Inc.
1418: 1369: 1326: 1193: 1410: 1361: 1318: 1285: 1265: 1230: 1185: 1150: 1086: 994: 954: 949: 328: 150: 97: 85: 660: 1400: 1389:"Sequential spatial frequency discrimination is consistently impaired among adult dyslexics" 1353: 1310: 1177: 1140: 1132: 1076: 1068: 959: 939: 398: 135: 128: 120: 108: 1357: 1456: 1042: 1020: 383: 190: 170: 1486: 1145: 1136: 1120: 1081: 1056: 351: 246: 1475: 1330: 1181: 442: 379: 375: 363: 339: 1422: 1373: 1457:"Webvision: Part IX Psychophysics of Vision. 2 Visual Acuity, Contrast Sensitivity" 1197: 355: 17: 649:
is the basic resonance frequency of the spin. Due to the presence of the gradient
1405: 1388: 584:{\displaystyle \omega _{\mathrm {r} }=\omega _{\mathrm {0} }+{\bar {\gamma }}rG} 77: 69: 914:
Now, the spin-echo signal is in the k-space. It becomes a periodic function of
145: 140: 124: 1072: 1038: 944: 390:
The spatial-frequency theory of vision is based on two physical principles:
332: 93: 1414: 1365: 1322: 1154: 1090: 27:
Characteristic of any structure that is periodic across a position in space
1189: 978: 123:
applications, spatial frequency is often expressed in units of cycles per
1211: 905:{\displaystyle {\text{Spin-Echo}}={\frac {M_{\mathrm {0} }\sin rk}{rk}}} 335: 267:
per metre (rad/m), is related to ordinary wavenumber and wavelength by
104: 73: 264: 1314: 677:. The periodicity seen in the MRI raw data is just this frequency 116: 89: 979:"ISO 80000-3:2019 Quantities and units — Part 3: Space and time" 434: 1006: 849:, the spin-echo signal is expressed in an alternative form 350:, spatial frequency is expressed as the number of cycles per 55:
Spatial frequency representation of the Green Sea Shell image
397:
Any curve can be broken down into constituent sine waves by
374:
The spatial-frequency theory refers to the theory that the
706:, which is basically the temporal frequency in nature. 313:{\displaystyle k=2\pi \xi ={\frac {2\pi }{\lambda }}.} 144:. Ordinary wavenumber is defined as the reciprocal of 1023: 855: 814: 779: 750: 715: 683: 663: 626: 597: 532: 451: 338:
are frequently used to probe the capabilities of the
273: 249: 213: 193: 173: 153: 1057:"Complex receptive fields in primary visual cortex" 433:. Two dimensional k-space has been introduced into 1029: 904: 841: 800: 765: 736: 698: 669: 641: 612: 583: 518: 312: 255: 235: 199: 179: 159: 92:. The spatial frequency is a measure of how often 100:) of the structure repeat per unit of distance. 1301:Bar M (Aug 2004). "Visual objects in context". 983:International Organization for Standardization 1250:Westheimer, G. "The Fourier Theory of Vision" 1121:"Spatial frequency maps in cat visual cortex" 84:is a characteristic of any structure that is 8: 1455:Kalloniatis, Michael; Luu, Charles (2007). 1168:Teller, DY (1984). "Linking propositions". 1104:De Valois, R. L.; De Valois, K. K. (1988). 236:{\displaystyle \xi ={\frac {1}{\lambda }}.} 1440:"Tutorial: Spatial Frequency of an Image" 1404: 1144: 1080: 1022: 872: 871: 864: 856: 854: 822: 821: 813: 781: 780: 778: 756: 755: 749: 721: 720: 714: 689: 688: 682: 662: 632: 631: 625: 599: 598: 596: 564: 563: 553: 552: 538: 537: 531: 503: 502: 486: 485: 468: 467: 460: 452: 450: 292: 272: 248: 220: 212: 192: 172: 152: 138:, the spatial frequency is also known as 737:{\displaystyle \omega _{\mathrm {0} }=0} 620:is the gyromagnetic ratio constant, and 1442:. Hakan Haberdar, University of Houston 970: 1358:10.1016/j.neuropsychologia.2011.08.027 1119:Issa NP, Trepel C, Stryker MP (2000). 766:{\displaystyle \omega _{\mathrm {r} }} 699:{\displaystyle \omega _{\mathrm {r} }} 642:{\displaystyle \omega _{\mathrm {0} }} 1387:Ben-Yehudah G, Ahissar M (May 2004). 1212:https://doi.org/10.4324/9780203773932 7: 1108:. New York: Oxford University Press. 842:{\displaystyle k={\bar {\gamma }}Gt} 423:-space in magnetic resonance imaging 1037:is also used to represent temporal 445:of time, which can be described by 1137:10.1523/JNEUROSCI.20-22-08504.2000 801:{\displaystyle {\bar {\gamma }}rG} 757: 690: 539: 504: 487: 25: 613:{\displaystyle {\bar {\gamma }}} 48: 34: 1055:Martinez LM, Alonso JM (2003). 827: 786: 657:is encoded onto the frequency 604: 569: 1: 1406:10.1016/j.visres.2003.12.001 1182:10.1016/0042-6989(84)90178-0 107:of spatial frequency is the 1260:Blake, R. and Sekuler, R., 1125:The Journal of Neuroscience 167:and is commonly denoted by 1503: 653:, the spatial information 417: 1223:Barghout, Lauren (2014). 119:(c/m) is also common. In 1073:10.1177/1073858403252732 1005:SPIE Optipedia article: 414:Spatial frequency in MRI 370:Spatial-frequency theory 160:{\displaystyle \lambda } 131:per millimeter (LP/mm). 670:{\displaystyle \omega } 1031: 906: 843: 802: 767: 738: 700: 671: 643: 614: 585: 520: 314: 257: 237: 201: 181: 161: 96:(as determined by the 1264:, 3rd ed. Chapter 3. 1032: 907: 844: 803: 768: 739: 709:In a rotating frame, 701: 672: 644: 615: 586: 521: 315: 258: 238: 202: 182: 162: 94:sinusoidal components 41:Green Sea Shell image 1482:Mathematical physics 1459:. University of Utah 1030:{\displaystyle \nu } 1021: 853: 812: 777: 748: 713: 681: 661: 624: 595: 530: 449: 344:contrast sensitivity 271: 247: 211: 200:{\displaystyle \nu } 191: 180:{\displaystyle \xi } 171: 151: 1284:, 6th ed. 293–294. 1229:. Scholars' Press. 1007:"Spatial Frequency" 243:Angular wavenumber 88:across position in 18:Spatial frequencies 1303:Nat. Rev. Neurosci 1027: 902: 839: 808:. Just by letting 798: 763: 734: 696: 667: 639: 610: 581: 516: 310: 253: 233: 197: 177: 157: 1352:(13): 3583–3590. 1280:Pinel, J. P. J., 1270:978-0-072-88760-0 1236:978-3-639-70962-9 1176:(10): 1233–1246. 1131:(22): 8504–8514. 955:Fringe visibility 950:Visual perception 924:k-space frequency 900: 859: 830: 789: 773:is simplified to 607: 572: 514: 455: 329:visual perception 323:Visual perception 305: 256:{\displaystyle k} 228: 98:Fourier transform 82:spatial frequency 16:(Redirected from 1494: 1468: 1466: 1464: 1451: 1449: 1447: 1427: 1426: 1408: 1384: 1378: 1377: 1346:Neuropsychologia 1341: 1335: 1334: 1298: 1292: 1278: 1272: 1258: 1252: 1247: 1241: 1240: 1220: 1214: 1208: 1202: 1201: 1165: 1159: 1158: 1148: 1116: 1110: 1109: 1101: 1095: 1094: 1084: 1052: 1046: 1043:Planck's formula 1036: 1034: 1033: 1028: 1015: 1009: 1003: 997: 993: 991: 990: 975: 960:Reciprocal space 940:Fourier analysis 911: 909: 908: 903: 901: 899: 891: 878: 877: 876: 865: 860: 857: 848: 846: 845: 840: 832: 831: 823: 807: 805: 804: 799: 791: 790: 782: 772: 770: 769: 764: 762: 761: 760: 743: 741: 740: 735: 727: 726: 725: 705: 703: 702: 697: 695: 694: 693: 676: 674: 673: 668: 648: 646: 645: 640: 638: 637: 636: 619: 617: 616: 611: 609: 608: 600: 590: 588: 587: 582: 574: 573: 565: 559: 558: 557: 544: 543: 542: 525: 523: 522: 517: 515: 513: 509: 508: 507: 496: 492: 491: 490: 474: 473: 472: 461: 456: 453: 399:Fourier analysis 384:receptive fields 327:In the study of 319: 317: 316: 311: 306: 301: 293: 262: 260: 259: 254: 242: 240: 239: 234: 229: 221: 206: 204: 203: 198: 186: 184: 183: 178: 166: 164: 163: 158: 136:wave propagation 121:image-processing 109:reciprocal metre 52: 38: 21: 1502: 1501: 1497: 1496: 1495: 1493: 1492: 1491: 1472: 1471: 1462: 1460: 1454: 1445: 1443: 1438: 1435: 1430: 1399:(10): 1047–63. 1386: 1385: 1381: 1343: 1342: 1338: 1315:10.1038/nrn1476 1300: 1299: 1295: 1279: 1275: 1259: 1255: 1248: 1244: 1237: 1222: 1221: 1217: 1209: 1205: 1170:Vision Research 1167: 1166: 1162: 1118: 1117: 1113: 1103: 1102: 1098: 1054: 1053: 1049: 1041:, as in, e.g., 1019: 1018: 1016: 1012: 1004: 1000: 988: 986: 977: 976: 972: 968: 936: 892: 867: 866: 851: 850: 810: 809: 775: 774: 751: 746: 745: 716: 711: 710: 684: 679: 678: 659: 658: 627: 622: 621: 593: 592: 548: 533: 528: 527: 498: 497: 481: 463: 462: 447: 446: 425: 416: 372: 325: 294: 269: 268: 263:, expressed in 245: 244: 209: 208: 189: 188: 169: 168: 149: 148: 127:(c/mm) or also 66: 65: 64: 63: 58: 57: 56: 53: 44: 43: 42: 39: 28: 23: 22: 15: 12: 11: 5: 1500: 1498: 1490: 1489: 1484: 1474: 1473: 1470: 1469: 1452: 1434: 1433:External links 1431: 1429: 1428: 1379: 1336: 1293: 1273: 1253: 1242: 1235: 1215: 1203: 1160: 1111: 1106:Spatial vision 1096: 1061:Neuroscientist 1047: 1026: 1010: 998: 981:(2 ed.). 969: 967: 964: 963: 962: 957: 952: 947: 942: 935: 932: 898: 895: 890: 887: 884: 881: 875: 870: 863: 838: 835: 829: 826: 820: 817: 797: 794: 788: 785: 759: 754: 733: 730: 724: 719: 692: 687: 666: 635: 630: 606: 603: 580: 577: 571: 568: 562: 556: 551: 547: 541: 536: 512: 506: 501: 495: 489: 484: 480: 477: 471: 466: 459: 418:Main article: 415: 412: 403: 402: 395: 371: 368: 324: 321: 309: 304: 300: 297: 291: 288: 285: 282: 279: 276: 252: 232: 227: 224: 219: 216: 196: 176: 156: 111:(m), although 60: 59: 54: 47: 46: 45: 40: 33: 32: 31: 30: 29: 26: 24: 14: 13: 10: 9: 6: 4: 3: 2: 1499: 1488: 1485: 1483: 1480: 1479: 1477: 1458: 1453: 1441: 1437: 1436: 1432: 1424: 1420: 1416: 1412: 1407: 1402: 1398: 1394: 1390: 1383: 1380: 1375: 1371: 1367: 1363: 1359: 1355: 1351: 1347: 1340: 1337: 1332: 1328: 1324: 1320: 1316: 1312: 1309:(8): 617–29. 1308: 1304: 1297: 1294: 1291: 1290:0-205-42651-4 1287: 1283: 1282:Biopsychology 1277: 1274: 1271: 1267: 1263: 1257: 1254: 1251: 1246: 1243: 1238: 1232: 1228: 1227: 1219: 1216: 1213: 1207: 1204: 1199: 1195: 1191: 1187: 1183: 1179: 1175: 1171: 1164: 1161: 1156: 1152: 1147: 1142: 1138: 1134: 1130: 1126: 1122: 1115: 1112: 1107: 1100: 1097: 1092: 1088: 1083: 1078: 1074: 1070: 1067:(5): 317–31. 1066: 1062: 1058: 1051: 1048: 1044: 1040: 1024: 1014: 1011: 1008: 1002: 999: 995: 984: 980: 974: 971: 965: 961: 958: 956: 953: 951: 948: 946: 943: 941: 938: 937: 933: 931: 927: 925: 921: 917: 912: 896: 893: 888: 885: 882: 879: 873: 868: 861: 836: 833: 824: 818: 815: 795: 792: 783: 752: 731: 728: 722: 717: 707: 685: 664: 656: 652: 633: 628: 601: 578: 575: 566: 560: 554: 549: 545: 534: 510: 499: 493: 482: 478: 475: 469: 464: 457: 444: 443:sinc function 438: 436: 432: 431: 424: 422: 413: 411: 407: 400: 396: 393: 392: 391: 388: 385: 381: 377: 376:visual cortex 369: 367: 365: 361: 357: 353: 349: 345: 341: 340:visual system 337: 334: 330: 322: 320: 307: 302: 298: 295: 289: 286: 283: 280: 277: 274: 266: 250: 230: 225: 222: 217: 214: 194: 187:or sometimes 174: 154: 147: 143: 142: 137: 132: 130: 126: 122: 118: 114: 110: 106: 101: 99: 95: 91: 87: 83: 79: 75: 71: 51: 37: 19: 1461:. Retrieved 1444:. Retrieved 1396: 1392: 1382: 1349: 1345: 1339: 1306: 1302: 1296: 1281: 1276: 1261: 1256: 1245: 1225: 1218: 1206: 1173: 1169: 1163: 1128: 1124: 1114: 1105: 1099: 1064: 1060: 1050: 1013: 1001: 987:. Retrieved 973: 928: 923: 919: 915: 913: 708: 654: 650: 439: 429: 426: 420: 408: 404: 389: 373: 356:visual angle 326: 139: 133: 102: 81: 67: 1017:The symbol 360:orientation 346:. In these 78:engineering 70:mathematics 1476:Categories 1393:Vision Res 1262:Perception 996:(11 pages) 989:2019-10-23 966:References 380:V1 neurons 342:, such as 333:sinusoidal 146:wavelength 141:wavenumber 129:line pairs 125:millimeter 1331:205499985 1039:frequency 1025:ν 945:Superlens 883:⁡ 858:Spin-Echo 828:¯ 825:γ 787:¯ 784:γ 753:ω 718:ω 686:ω 665:ω 629:ω 605:¯ 602:γ 570:¯ 567:γ 550:ω 535:ω 500:ω 483:ω 479:⁡ 454:Spin-Echo 303:λ 299:π 287:ξ 284:π 226:λ 215:ξ 195:ν 175:ξ 155:λ 1446:22 March 1423:12605281 1415:15031099 1374:10037045 1366:21939676 1323:15263892 1155:11069958 1091:14580117 934:See also 336:gratings 86:periodic 1463:19 July 1198:6146565 1190:6395480 1146:2412904 1082:2556291 922:as the 430:k-space 348:stimuli 105:SI unit 74:physics 62:images. 1421:  1413:  1372:  1364:  1329:  1321:  1288:  1268:  1233:  1196:  1188:  1153:  1143:  1089:  1079:  985:. 2019 744:, and 526:Where 362:, and 352:degree 265:radian 113:cycles 76:, and 1487:Space 1419:S2CID 1370:S2CID 1327:S2CID 1194:S2CID 918:with 591:Here 364:phase 117:meter 90:space 1465:2009 1448:2012 1411:PMID 1362:PMID 1319:PMID 1286:ISBN 1266:ISBN 1231:ISBN 1186:PMID 1151:PMID 1087:PMID 115:per 103:The 1401:doi 1354:doi 1311:doi 1178:doi 1141:PMC 1133:doi 1077:PMC 1069:doi 880:sin 476:sin 435:MRI 354:of 134:In 68:In 1478:: 1417:. 1409:. 1397:44 1395:. 1391:. 1368:. 1360:. 1350:49 1348:. 1325:. 1317:. 1305:. 1192:. 1184:. 1174:24 1172:. 1149:. 1139:. 1129:20 1127:. 1123:. 1085:. 1075:. 1063:. 1059:. 366:. 331:, 207:: 80:, 72:, 1467:. 1450:. 1425:. 1403:: 1376:. 1356:: 1333:. 1313:: 1307:5 1239:. 1200:. 1180:: 1157:. 1135:: 1093:. 1071:: 1065:9 1045:. 992:. 920:r 916:k 897:k 894:r 889:k 886:r 874:0 869:M 862:= 837:t 834:G 819:= 816:k 796:G 793:r 758:r 732:0 729:= 723:0 691:r 655:r 651:G 634:0 579:G 576:r 561:+ 555:0 546:= 540:r 511:t 505:r 494:t 488:r 470:0 465:M 458:= 421:k 401:. 308:. 296:2 290:= 281:2 278:= 275:k 251:k 231:. 223:1 218:= 20:)

Index

Spatial frequencies
Green Sea Shell image
Spatial frequency representation of the Green Sea Shell image
mathematics
physics
engineering
periodic
space
sinusoidal components
Fourier transform
SI unit
reciprocal metre
cycles
meter
image-processing
millimeter
line pairs
wave propagation
wavenumber
wavelength
radian
visual perception
sinusoidal
gratings
visual system
contrast sensitivity
stimuli
degree
visual angle
orientation

Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.