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Procesamiento de Imágenes, Cheat Sheet of Biomedical Engineering

Santiago Canyon CollegeBiomedical Engineering

Los datos presentados son de imágenes del ojo con glaucoma y sin glaucoma para procesamiento de imágenes en Matlab con machine learning.

Typology: Cheat Sheet

2022/2023

Uploaded on 02/09/2025

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tatiana-oviedo-11 🇺🇸

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bg1
ID media_red
mediana_red
varianza_red
rango_intercu
asimetria_red
36 0.98258851 0.99607843 0.00137118 0.00784314 -2.72030898
37 0.99221216 0.99607843 0.00033877 0.00784314 -4.38998111
41 0.96892341 0.99215686 0.00250666 0.04313725 -2.55939506
50 0.97938799 0.99607843 0.00185481 0.01176471 -2.90672481
69 0.98760798 1 0.00116179 0.00784314 -4.20634893
72 0.98468708 0.99607843 0.00121495 0.00784314 -3.10059607
76 0.99298891 1 0.00034946 0.00392157 -4.10426237
86 0.98985935 0.99607843 0.00084368 0.00784314 -4.48774099
87 0.99220357 0.99607843 0.00030502 0.00784314 -4.29078112
93 0.97371986 0.99607843 0.00264352 0.01568627 -2.30315233
94 0.97518134 0.99607843 0.00217067 0.01568627 -2.12279188
97 0.98041675 0.99607843 0.00193078 0.00784314 -2.93136107
110 0.97402516 0.99607843 0.00206051 0.01960784 -2.0369937
116 0.98825369 0.99607843 0.00061406 0.00784314 -3.02066076
138 0.90794006 0.90588235 0.00402982 0.10196078 -0.15068632
158 0.97111494 0.99607843 0.00360859 0.01568627 -2.77835379
159 0.97928644 0.99607843 0.00226003 0.01176471 -3.44429005
160 0.97671754 0.99607843 0.00236919 0.01568627 -2.57251376
165 0.99668955 1 1.9702E-05 0.00392157 -1.46917533
168 0.99509628 1 9.74005E-05 0.00784314 -5.49424354
171 0.9792315 0.99607843 0.00209484 0.01176471 -3.14873407
180 0.99290727 0.99607843 0.00027047 0.00784314 -4.51978469
181 0.98924244 0.99607843 0.00053238 0.00784314 -3.06974566
182 0.9909315 0.99607843 0.00036487 0.00784314 -2.98092131
208 0.99103352 1 0.00043948 0.00784314 -4.20717512
213 0.97815296 0.99607843 0.00200493 0.01176471 -2.63951923
225 0.99639866 1 2.65005E-05 0.00392157 -1.77268188
228 0.98507119 0.99607843 0.00163839 0.00784314 -4.10752883
229 0.97694019 0.99607843 0.00324448 0.01176471 -3.24009224
233 0.69069654 0.69411765 0.00521323 0.11372549 -0.26193983
240 0.98157843 0.99607843 0.00191699 0.00784314 -3.4261092
241 0.98178054 0.99607843 0.00145858 0.01568627 -3.20673165
245 0.98967935 0.99607843 0.00048357 0.00784314 -3.99982171
246 0.98732277 0.99607843 0.00076886 0.01176471 -3.46684539
247 0.97699093 0.99607843 0.00150029 0.02745098 -2.18533937
269 0.97833656 0.99607843 0.00190578 0.01568627 -2.95374145
270 0.99052043 0.99607843 0.00032263 0.01176471 -3.30297681
273 0.98386049 0.99607843 0.00117741 0.01176471 -3.16574484
277 0.98377792 1 0.00216326 0.00784314 -4.15463117
278 0.98825877 1 0.00144112 0.00784314 -4.86041206
283 0.99131585 0.99607843 0.00036347 0.00784314 -4.39449452
284 0.99720269 1 1.973E-05 0.00392157 -2.77476104
285 0.99166985 1 0.00024893 0.00784314 -2.53349503
286 0.98288354 1 0.00163891 0.00784314 -3.09769171
289 0.97596055 0.99607843 0.00343003 0.01176471 -3.29903444
300 0.99690969 1 1.8997E-05 0.00392157 -1.54332487
301 0.99475515 1 0.00011319 0.00784314 -3.9075761
304 0.82304247 0.82352941 0.00622453 0.10196078 0.08074108
305 0.97770733 0.99607843 0.00213907 0.01176471 -2.56048001
306 0.98473064 0.99607843 0.00077843 0.01176471 -2.26881005
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Download Procesamiento de Imágenes and more Cheat Sheet Biomedical Engineering in PDF only on Docsity!

ID media_red mediana_red varianza_red rango_intercuasimetria_red

  • 36 0.98258851 0.99607843 0.00137118 0.00784314 -2.
  • 37 0.99221216 0.99607843 0.00033877 0.00784314 -4.
  • 41 0.96892341 0.99215686 0.00250666 0.04313725 -2.
  • 50 0.97938799 0.99607843 0.00185481 0.01176471 -2.
  • 69 0.98760798 1 0.00116179 0.00784314 -4.
  • 72 0.98468708 0.99607843 0.00121495 0.00784314 -3.
  • 76 0.99298891 1 0.00034946 0.00392157 -4.
  • 86 0.98985935 0.99607843 0.00084368 0.00784314 -4.
  • 87 0.99220357 0.99607843 0.00030502 0.00784314 -4.
  • 93 0.97371986 0.99607843 0.00264352 0.01568627 -2.
  • 94 0.97518134 0.99607843 0.00217067 0.01568627 -2.
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  • 110 0.97402516 0.99607843 0.00206051 0.01960784 -2.
  • 116 0.98825369 0.99607843 0.00061406 0.00784314 -3.
  • 138 0.90794006 0.90588235 0.00402982 0.10196078 -0.
  • 158 0.97111494 0.99607843 0.00360859 0.01568627 -2.
  • 159 0.97928644 0.99607843 0.00226003 0.01176471 -3.
  • 160 0.97671754 0.99607843 0.00236919 0.01568627 -2.
  • 165 0.99668955 1 1.9702E-05 0.00392157 -1.
  • 168 0.99509628 1 9.74005E-05 0.00784314 -5.
  • 171 0.9792315 0.99607843 0.00209484 0.01176471 -3.
  • 180 0.99290727 0.99607843 0.00027047 0.00784314 -4.
  • 181 0.98924244 0.99607843 0.00053238 0.00784314 -3.
  • 182 0.9909315 0.99607843 0.00036487 0.00784314 -2.
  • 208 0.99103352 1 0.00043948 0.00784314 -4.
  • 213 0.97815296 0.99607843 0.00200493 0.01176471 -2.
  • 225 0.99639866 1 2.65005E-05 0.00392157 -1.
  • 228 0.98507119 0.99607843 0.00163839 0.00784314 -4.
  • 229 0.97694019 0.99607843 0.00324448 0.01176471 -3.
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  • 241 0.98178054 0.99607843 0.00145858 0.01568627 -3.
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  • 273 0.98386049 0.99607843 0.00117741 0.01176471 -3.
  • 277 0.98377792 1 0.00216326 0.00784314 -4.
  • 278 0.98825877 1 0.00144112 0.00784314 -4.
  • 283 0.99131585 0.99607843 0.00036347 0.00784314 -4.
  • 284 0.99720269 1 1.973E-05 0.00392157 -2.
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  • 286 0.98288354 1 0.00163891 0.00784314 -3.
  • 289 0.97596055 0.99607843 0.00343003 0.01176471 -3.
  • 300 0.99690969 1 1.8997E-05 0.00392157 -1.
  • 301 0.99475515 1 0.00011319 0.00784314 -3.
  • 304 0.82304247 0.82352941 0.00622453 0.10196078 0.
  • 305 0.97770733 0.99607843 0.00213907 0.01176471 -2.
  • 306 0.98473064 0.99607843 0.00077843 0.01176471 -2.
  • 312 0.9808517 0.99607843 0.00157571 0.01176471 -2.
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  • 322 0.97059521 0.98039216 0.00116365 0.04705882 -1.
  • 327 0.92629975 0.95686275 0.00623167 0.10588235 -1.
  • 330 0.98543816 0.99607843 0.00112556 0.01176471 -4.
  • 336 0.97566474 0.99607843 0.00389233 0.00784314 -3.
  • 337 0.99349385 1 0.00028729 0.00392157 -4.
  • 340 0.86720946 0.88235294 0.00681419 0.14509804 -0.
  • 345 0.87182473 0.8745098 0.00395647 0.09019608 -0.
  • 348 0.99574068 1 0.00013373 0.00392157 -5.
  • 349 0.99327461 1 0.00029523 0.00392157 -3.
  • 353 0.98609726 1 0.001044 0.00784314 -3.
  • 354 0.98883936 0.99607843 0.00059499 0.00784314 -3.
  • 359 0.99361065 0.99607843 0.00012565 0.00784314 -3.
  • 362 0.98497869 1 0.00158251 0.00784314 -3.
  • 366 0.98147431 0.99607843 0.00242761 0.01176471 -4.
  • 377 0.99095122 1 0.00039252 0.00784314 -3.
  • 381 0.98398839 0.99607843 0.00102676 0.01176471 -2.
  • 382 0.98275926 0.99607843 0.00101732 0.01568627 -2.
  • 383 0.98799261 0.99607843 0.00058545 0.01176471 -3.
  • 385 0.98039179 0.99607843 0.00169238 0.01176471 -2.
  • 386 0.97687754 0.99607843 0.00192145 0.01568627 -2.
  • 389 0.99186528 0.99607843 0.00040787 0.00784314 -5.
  • 390 0.99398136 0.99607843 0.00012185 0.00784314 -4.
  • 395 0.9867782 0.99607843 0.00089883 0.01176471 -3.
  • 398 0.97521388 0.99607843 0.00211391 0.01960784 -2.
  • 402 0.99175001 1 0.00054155 0.00784314 -5.
  • 407 0.98839886 0.99607843 0.00070557 0.01176471 -4.
  • 419 0.99008415 1 0.00086128 0.00784314 -4.
  • 424 0.98073166 0.99607843 0.00194221 0.01176471 -3.
  • 426 0.9886756 0.99607843 0.00069833 0.00784314 -3.
  • 432 0.9819097 0.99607843 0.00214754 0.00784314 -3.
  • 429 0.9906811 0.99607843 0.00055546 0.00784314 -5.
  • 433 0.97151806 0.99607843 0.00520806 0.01176471 -3.
  • 439 0.98593433 1 0.0008524 0.00784314 -2.
  • 440 0.97575504 0.99607843 0.0026438 0.01568627 -2.
  • 441 0.97234218 0.99607843 0.00359324 0.01568627 -2.
  • 442 0.98395795 0.99607843 0.001119 0.00784314 -2.
  • 457 0.98763741 0.99607843 0.0009244 0.01176471 -4.
  • 458 0.98388707 0.99607843 0.00131895 0.01176471 -3.
  • 465 0.99333245 1 0.00030923 0.00784314 -4.
  • 468 0.98661709 1 0.00103644 0.00784314 -3.
  • 474 0.99215409 1 0.00047781 0.00784314 -4.
  • 480 0.99287672 0.99607843 0.00016507 0.00784314 -3.
  • 486 0.94428166 0.95294118 0.00211699 0.07058824 -0.
  • 490 0.97811152 0.99215686 0.00088073 0.03137255 -1.
  • 496 0.98067213 0.99607843 0.00120996 0.01568627 -2.
  • 505 0.95306353 0.97254902 0.00290296 0.06666667 -1.
  • 506 0.97925235 0.99607843 0.00137942 0.02352941 -2.
  • 507 0.98537246 1 0.00126987 0.00784314 -3.
  • 508 0.82616277 0.83137255 0.00346736 0.09019608 -0.
  • 511 0.99230994 0.99607843 0.00023712 0.00784314 -3.
  • 512 0.98478252 1 0.0015597 0.00784314 -3.
  • 514 0.99355133 1 0.00024383 0.00784314 -4.
  • 515 0.98810991 1 0.00079396 0.00784314 -3.
  • 516 0.99267785 1 0.00040238 0.00392157 -4.
  • 519 0.9885722 1 0.00065143 0.00784314 -3.
  • 523 0.99310559 1 0.00028242 0.00392157 -3.
  • 524 0.99343615 1 0.00027784 0.00392157 -3.
  • 528 0.94284044 0.95686275 0.00262791 0.09019608 -0.
  • 532 0.97173809 0.99215686 0.00154398 0.04313725 -1.
  • 533 0.98207368 0.99607843 0.00159568 0.01176471 -3.
  • 545 0.97451683 0.99607843 0.00295004 0.01568627 -3.
  • 549 0.99287944 1 0.00023074 0.00784314 -4.
  • 550 0.98743246 0.99607843 0.0007787 0.00784314 -3.
  • 556 0.98749331 0.99607843 0.00137283 0.00784314 -5.
  • 557 0.97743752 0.99607843 0.0024914 0.01176471 -2.
  • 558 0.99360534 0.99607843 0.00017269 0.00784314 -4.
  • 560 0.99375895 1 0.00020306 0.00784314 -4.
  • 571 0.99406819 1 0.00022837 0.00784314 -5.
  • 572 0.97900278 0.99607843 0.00275157 0.00784314 -3.
  • 578 0.99350334 1 0.00032762 0.00392157 -4.
  • 580 0.99505083 1 8.57387E-05 0.00784314 -3.
  • 582 0.99149359 1 0.00043264 0.00784314 -3.
  • 584 0.98774602 1 0.0008141 0.00784314 -3.
  • 586 0.97213391 0.99607843 0.00325 0.01176471 -2.
  • 588 0.98828904 1 0.00105048 0.00784314 -4.
  • 589 0.97120056 0.98431373 0.00127557 0.04313725 -1.
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  • 593 0.98182031 0.99607843 0.00204695 0.01176471 -3.
  • 595 0.96723792 0.99607843 0.00428248 0.02352941 -2.
  • 598 0.95670667 0.97647059 0.00256467 0.0627451 -1.
  • 600 0.95874621 0.98039216 0.00265292 0.0627451 -1.
  • 601 0.98186742 0.99607843 0.00168443 0.00784314 -2.
  • 604 0.98109822 0.99607843 0.00176475 0.01176471 -2.
  • 605 0.97937071 0.99607843 0.00204596 0.01176471 -2.
  • 608 0.96652315 0.99607843 0.00375587 0.02352941 -2.
  • 609 0.98993467 1 0.0004636 0.00784314 -2.
  • 612 0.84642454 0.85882353 0.00917422 0.13333333 -0.
  • 613 0.97245488 0.99607843 0.00271053 0.02352941 -2.
  • 615 0.96399672 0.99215686 0.0044361 0.03137255 -2.
  • 617 0.97852755 0.99607843 0.00187192 0.01176471 -2.
  • 618 0.97017936 0.99607843 0.0032837 0.02745098 -2.
  • 619 0.96171307 0.99607843 0.00516515 0.03137255 -2.
  • 621 0.9966221 1 4.87952E-05 0.00392157 -6.
  • 622 0.99369211 1 0.00033663 0.00392157 -4.
  • 623 0.97726678 0.99607843 0.00356111 0.01176471 -3.
  • 624 0.98820657 1 0.00123249 0.00784314 -5.
  • 626 0.98379175 0.99607843 0.00141436 0.00784314 -2.
  • 627 0.98164989 0.99607843 0.0016631 0.00784314 -2.
  • 628 0.9818356 1 0.00189468 0.00784314 -2.
  • 630 0.98707404 1 0.00118859 0.00392157 -3.
  • 631 0.98198891 0.99607843 0.00090926 0.01960784 -1.
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  • 636 0.96446975 0.96862745 0.00096775 0.05098039 -0.
  • 638 0.97424028 0.99607843 0.00385874 0.01176471 -2.
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    1. entropia_val_blue