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

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Tina Hsiao
Tina Hsiao 2021-3-24
评论： Tina Hsiao 2021-3-25
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.
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Tina Hsiao
Tina Hsiao 2021-3-25
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]

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