digital image processing projects 数字图像处理 冈萨雷斯 第六章所有程序和报告Word下载.docx

digital image processing projects 数字图像处理 冈萨雷斯 第六章所有程序和报告Word下载.docx

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Objective

ToknowwhatareWeb-safecolors,howtogeneratetheRGBcomponentsforagivenjpegcolorimage,orconvertanimagetoRGBmanually?

Requirements

（a）WriteacomputerprogramthatconvertsanarbitraryRGBcolorimagetoaweb-safeRGBimage（seeFig.6.10foradefinitionofweb-safecolors）.

（b）DownloadtheimageinFig.6.8andconvertittoaweb-safeRGBcolorimage.Figure6.8isgiveninjpgformat,soconvertyourresultbacktojpg（seecommentsatthebeginningofthisproject）.

Figure1Fig6.08.jpg

Technicaldiscussion

【1】B=fix（A）

roundstheelementsofAtowardzero,resultinginanarrayofintegers.ForcomplexA,theimaginaryandrealpartsareroundedindependently.

【2】imwrite（A,filename,fmt）

writestheimageAtothefilespecifiedbyfilenameintheformatspecifiedbyfmt.

Programlistings

I=imread（'

Fig6.08.jpg'

）;

subplot（131）;

imshow（I）;

title（'

original'

I1=fix（（I/51）*51）;

subplot（132）;

imshow（I1）;

web-safecolors（jpg）'

imwrite（I1,'

web-safecolors.jpeg'

'

jpeg'

subplot（133）;

web-safecolors（jpeg）'

Discussionofresults

Figure2resultsofproject06-01

Pseudo-ColorImageProcessing

Exp.21，PROJECT06-02

ToknowwhenthehighpassfilteringHhp（u,v）canbeobtainedbyusingtherelation1-Hlp（u,v）.

（a）ImplementFig.6.23,withthecharacteristicthatyoucanspecifytworangesofgray-levelvaluesfortheinputimageandyourprogramwilloutputanRGBimagewhosepixelshaveaspecifiedcolorcorrespondingtoonerangeofgraylevelsintheinputimage,andtheremainingpixelsintheRGBimagehavethesameshadeofgrayastheyhadintheinputimage.

（b）DownloadtheimageinFig.6.22（a）andprocessitwithyourprogramsothattheriverappearsyellowandtherestofthepixelsarethesameshadesofgrayasintheinputimage.

Figure3Fig6.22（a）.jpg

【1】RGBcomponents

rgb_R=I（:

:

1）;

rgb_G=I（:

2）;

rgb_B=I（:

3）;

Fig6.22（a）.jpg'

subplot（121）;

I=double（I）;

[m,n]=size（I）;

L=256;

fori=1:

m

forj=1:

n

ifI（i,j）<

L/4

R（i,j）=0;

G（i,j）=4*I（i,j）;

B（i,j）=L;

elseifI（i,j）<

=L/2

G（i,j）=L;

B（i,j）=-4*I（i,j）+2*L;

=3*L/4

R（i,j）=4*I（i,j）-2*L;

B（i,j）=0;

else

R（i,j）=L;

G（i,j）=-4*I（i,j）+4*L;

end

end

G2C（i,j,1）=R（i,j）;

G2C（i,j,2）=G（i,j）;

G2C（i,j,3）=B（i,j）;

G2C=G2C/256;

subplot（122）;

imshow（G2C）;

Pseudo-Color'

Figure4resultsofproject06-02

ColorImageEnhancementbyHistogramProcessing

Exp.22，PROJECT06-03

Toknowhowtoimplementimageenhancementforcolorimagesbyhistogramprocessing.Notethatthedefinitionofhistogramforcolorimagesdiffersfromthatofhistogramforgrayimages.

Downloadthedark-streamcolorpictureinFig.6.35.Histogram-equalizetheR,G,andBimagesseparatelyusingthehistogram-equalizationprogramandconverttheimagebacktojpgformat.

Figure5Fig6.35（5）.jpg

【1】C=cat（dim,A1,A2,A3,A4,...）

concatenatesalltheinputarrays（A1,A2,A3,A4,andsoon）alongarraydimensiondim.

Fig6.35（5）.jpg'

a=I（:

:

1）;

b=I（:

2）;

c=I（:

3）;

A=histeq（a）;

B=histeq（b）;

C=histeq（c）;

I3=cat（3,A,B,C）;

imshow（I3）;

histogramprocessing'

Figure6resultsofproject06-03

ColorImageSegmentation

Exp.23，PROJECT06-04

Colorimagesegmentationisabigissueinimageprocessing.Thisstudentsneedtoknowthebasicsofthistopic.

DownloadFig.6.28（b）andduplicateExample6.15,butsegmentinsteadthedarkestregionsintheimage.

Figure7Fig6.30（01）.jpg

【1】RGB2=im2double（RGB）

convertsthetruecolorimageRGBtodoubleprecision,rescalingthedataifnecessary

rgb=imread（'

Fig6.30（01）.jpg'

subplot（221）;

imshow（rgb）;

rgb1=im2double（rgb）;

r=rgb1（:

g=rgb1（:

b=rgb1（:

r1=r（129:

256,86:

170）;

r1_u=mean（mean（r1（:

）））;

[m,n]=size（r1）;

sd1=0.0;

sd1=sd1+（r1（i,j）-r1_u）*（r1（i,j）-r1_u）;

r1_d=sqrt（sd1/（m*n））;

r2=zeros（size（rgb1,1）,size（rgb1,2））;

ind=find（（r>

r1_u-1.25*r1_d）&

（r<

r1_u+1.25*r1_d））;

r2（ind）=1;

subplot（222）;

imshow（r2）;

segmentation'

subplot（234）;

imshow（r）;

Rcomponent'

subplot（235）;

imshow（g）;

Gcomponent'

subplot（236）;

imshow（b）;

Bcomponent'

Figure8resultsofproject06-04