How to create and save the contourf image to pixel by pixel and the grey-level from 0-192

1 Ansicht (letzte 30 Tage)
Hello, I am a beginner at Matlab. I would like to create contourf plot. The plot size is pixel by pixel, and the grey level from 0-192. The code as below,
r_M = [4.76083603812144 4.59732757325507 3.84078375990161 2.83522761891933 2.03979313208838 1.61429885435575 1.58483400872700 2.07651813385661 2.55722735199852 2.72392206632444 2.93752535716962 3.36165244504211 4.22402540734126
5.09135259357986 5.14098053905767 3.84735386504628 2.90588398495713 2.16965294670956 1.75800774970059 1.60816653904618 2.09786569025139 2.35707830751551 2.72724672816220 2.92950291189290 3.14937669175105 3.55234768789906
5.32921037462212 5.19557229019368 3.64288236574948 2.59423164048293 2.05593607322099 1.62600765104696 1.39272324365209 1.94639828163833 2.39067573713014 2.76682320807590 3.08555090153314 3.34114325174325 3.48149717381015
5.32220300581207 4.77648710556025 3.33861857929257 2.30001087201542 1.72605713634148 1.30014731381246 1.27834395153522 1.44070837985961 2.28502229697568 3.05248804492776 3.46260438310124 3.48706102771820 3.51030149578596
4.77942253753882 4.46906792789553 3.34795711428994 2.16465765653945 1.46191531056537 0.977488872989844 0.753852737116531 1.27219788209603 2.08210681473467 3.03256963334665 3.64937747540501 3.65792537276952 3.74565551110235
4.35299275691490 4.09126935363725 3.17753495331855 2.00277281204170 1.24584659356560 0.971882708826663 0.359926751275065 0.750288700163987 1.65295259354634 2.78437256856132 3.88785048392134 4.12080325961920 3.91064049184246
3.93553132820880 3.59037099875034 3.00742566363658 2.22310301463755 1.40329829105446 0.641720673990197 0 0.353817971764671 1.25050401867387 2.52705374697445 3.90206241164242 4.23322992408431 4.07966270942597
3.81297584814867 3.50496940639607 3.07287706439689 2.35995332346616 1.86413217218313 0.936682281145216 0.260044105867860 0.421385784308465 1.16132826321159 2.46123588438794 4.02775557593691 4.61512984501341 4.56460461007416
3.68529588244402 3.45724972352478 3.08758001482871 2.71853149527819 2.01589401870171 1.20354143807865 0.587935492605682 0.670452733954317 1.32097352990551 2.73396811354949 3.39007402374409 5.12073156989824 5.19172525646325
3.57346310861397 3.30138171990411 2.94197749316414 2.76413214744990 2.20208725235252 1.60173122994903 1.11863252129357 1.05812096331277 1.41869726718747 2.25935488759645 3.69156460669313 5.55839137321558 5.66354993152361
3.65235145805927 3.17599433524990 2.86927834788569 2.62713472885208 2.18853259171050 1.85215737698314 1.37566911617467 1.43058696816551 1.71420712042859 2.17640898749974 3.77395656277310 5.85285012374981 6.21778688895472
3.88096688920101 3.25616920202222 2.94078301742807 2.49926413516375 2.08893540306161 1.76158511353697 1.58802372581860 1.49797801272054 1.65308574844975 2.50599597127705 3.97368783274096 6.05695466074494 6.57069113812358
4.49676159104381 3.28110982226297 2.97248320745266 2.51555310405689 2.18534801655490 1.67462553900224 1.32835750776993 1.30126235023730 1.60772857482591 2.41658242378975 3.88480146299220 5.64471842496219 6.78487213551137];
Max = max (r_M (:));
Min = min(r_M(:));
I = mat2gray(r_M,[Min Max]);
figure(104)
contourf(X,Y,b,256,'LineColor','none')
colormap(flipud(gray(256)));
set(gca,'xtick',[])
set(gca,'ytick',[])
Thanks a lot.
  3 Kommentare
Tina Hsiao
Tina Hsiao am 25 Mär. 2021
X=[
-150 -125 -100 -75 -50 -25 0 25 50 75 100 125 150
-150 -125 -100 -75 -50 -25 0 25 50 75 100 125 150
-150 -125 -100 -75 -50 -25 0 25 50 75 100 125 150
-150 -125 -100 -75 -50 -25 0 25 50 75 100 125 150
-150 -125 -100 -75 -50 -25 0 25 50 75 100 125 150
-150 -125 -100 -75 -50 -25 0 25 50 75 100 125 150
-150 -125 -100 -75 -50 -25 0 25 50 75 100 125 150
-150 -125 -100 -75 -50 -25 0 25 50 75 100 125 150
-150 -125 -100 -75 -50 -25 0 25 50 75 100 125 150
-150 -125 -100 -75 -50 -25 0 25 50 75 100 125 150
-150 -125 -100 -75 -50 -25 0 25 50 75 100 125 150
-150 -125 -100 -75 -50 -25 0 25 50 75 100 125 150
-150 -125 -100 -75 -50 -25 0 25 50 75 100 125 150]
Y =[
-150 -150 -150 -150 -150 -150 -150 -150 -150 -150 -150 -150 -150
-125 -125 -125 -125 -125 -125 -125 -125 -125 -125 -125 -125 -125
-100 -100 -100 -100 -100 -100 -100 -100 -100 -100 -100 -100 -100
-75 -75 -75 -75 -75 -75 -75 -75 -75 -75 -75 -75 -75
-50 -50 -50 -50 -50 -50 -50 -50 -50 -50 -50 -50 -50
-25 -25 -25 -25 -25 -25 -25 -25 -25 -25 -25 -25 -25
0 0 0 0 0 0 0 0 0 0 0 0 0
25 25 25 25 25 25 25 25 25 25 25 25 25
50 50 50 50 50 50 50 50 50 50 50 50 50
75 75 75 75 75 75 75 75 75 75 75 75 75
100 100 100 100 100 100 100 100 100 100 100 100 100
125 125 125 125 125 125 125 125 125 125 125 125 125
150 150 150 150 150 150 150 150 150 150 150 150 150]

Melden Sie sich an, um zu kommentieren.

Antworten (0)

Kategorien

Mehr zu Image Processing Toolbox finden Sie in Help Center und File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by