references - shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/18614/... · boniface kayode,...

83

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APPENDIX A

SOURCE CODE

clear all

close all

clc

I=(imread('10_2.bmp'));

[X,map] = rgb2ind(I,128);

surf(double(X))

xlabel('Rows')

ylabel('Columns')

zlabel('Intensity profile')

figure

% plane information

imshow(I(:,:,1))

title('Plane-1')

surf(double(I(:,:,1)))

title('Plane-1')

xlabel('Rows')

ylabel('Columns')


figure

imshow(I(:,:,2))

title('Plane-2')


title('Plane-2')

xlabel('Rows')

ylabel('Columns')


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imshow(I(:,:,3))

title('Plane-1')

figure


title('Plane-3')

xlabel('Rows')

ylabel('Columns')


figure

imshow(I)

title('True color image')

figure

X=X(1:256,1:256);

nbcol = size(map,1);

[ca1,ch1,cv1,cd1] = dwt2(X,'db1');

[rough_param]=calculate_roughness_L1A(ca1);

L1=rough_param;

figure

[rough_param]=calculate_roughness_L1H(ch1);

L1=[L1 rough_param];

figure

[rough_param]=calculate_roughness_L1V(cv1);


figure

[rough_param]=calculate_roughness_L1D(cd1);


close all

[A1]=feature_extraction_wavelet(ca1,ch1,cv1,cd1);

cod_ca1 = wcodemat(ca1,nbcol);

94

figure

surf(cod_ca1)

ylabel('Rows=128')

xlabel('Columns=128')

zlabel('Coefficients')

title('Approximation Level-1')

figure

cod_ch1 = wcodemat(ch1,nbcol);

surf(cod_ch1)

ylabel('Rows=128')



title('Horizontal Level-1')

figure

cod_cv1 = wcodemat(cv1,nbcol);

surf(cod_cv1)

ylabel('Rows=128')



title('Vertical Level-1')

figure

cod_cd1 = wcodemat(cd1,nbcol);

surf(cod_cd1)

ylabel('Rows=128')



title('Diagonal Level-1')

95

figure

image([cod_ca1,cod_ch1;cod_cv1,cod_cd1]);

title('First level decomposition')

figure

% Perform second step decomposition :

% decompose approx. cfs of level 1.

[ca2,ch2,cv2,cd2] = dwt2(ca1,'db1');


L2=rough_param;

figure



figure



figure



[A2]=feature_extraction_wavelet(ca2,ch2,cv2,cd2)


surf(cod_ca2)

ylabel('Rows=64')




figure


surf(cod_ch2)

ylabel('Rows=64')

96




figure


surf(cod_cv2)

ylabel('Rows=64')




figure


surf(cod_cd2)

ylabel('Rows=64')




figure

image([[cod_ca2,cod_ch2;cod_cv2,cod_cd2],cod_ch1;cod_cv1,cod_cd1]);

title('Second level decomposition')

close all

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%%

%third level decomposition

figure



L3=rough_param;

figure

97



figure



figure





surf(cod_ca3)

ylabel('Rows=32')




figure


surf(cod_ch3)

ylabel('Rows=32')




figure


surf(cod_cv3)

ylabel('Rows=32')




98

figure


surf(cod_cd3)

ylabel('Rows=32')




figure

image([[[cod_ca3,cod_ch3;cod_cv3,cod_cd3],cod_ch2;cod_cv2,cod_cd2],co

d_ch1;cod_cv1,cod_cd1]);

title('Third level decomposition')

close all

figure



L4=rough_param;

figure



figure



figure





surf(cod_ca4)

ylabel('Rows=16')

99




figure


surf(cod_ch4)

ylabel('Rows=16')




figure


surf(cod_cv4)

ylabel('Rows=16')




figure


surf(cod_cd4)

ylabel('Rows=16')




figure

image([[[[cod_ca4,cod_ch4;cod_cv4,cod_cd4],cod_ch3;cod_cv3,cod_cd3],c

od_ch2;cod_cv2,cod_cd2],cod_ch1;cod_cv1,cod_cd1]);

title('Fourth level decomposition')

close all

100

figure



L5=rough_param;

figure



figure



figure




savecoeffi_ A1 A2 A3 A4 A5

save A1.txt A1 -ascii






surf(cod_ca5)

ylabel('Rows=8')

xlabel('Columns=8')



figure


surf(cod_ch5)

101

ylabel('Rows=8')

xlabel('Columns=8')



figure


surf(cod_cv5)

ylabel('Rows=8')

xlabel('Columns=8')



figure


surf(cod_cd5)

ylabel('Rows=8')

xlabel('Columns=8')



figure

image([[[[[cod_ca5,cod_ch5;cod_cv5,cod_cd5],cod_ch4;cod_cv4,cod_cd4],

cod_ch3;cod_cv3,cod_cd3],cod_ch2;cod_cv2,cod_cd2],cod_ch1;cod_cv1,co

d_cd1]);

title('Fifth level decomposition')

close all

% storing patterns

figure

Max_min_ca=[A1(3:4,:) A2(3:4,:) A3(3:4,:) A4(3:4,:)];

plot (Max_min_ca(1,:),'-r')

hold on

102

plot (Max_min_ca(2,:),'-g')

legend('Maximum','Minimum')

Title('Approximation at all five levels of decomposition')

ylabel('Coefficients')

xlabel('Levels 1-5')

figure

Max_min_ch=[A1(7:8,:) A2(7:8,:) A3(7:8,:) A4(7:8,:)];

plot (Max_min_ch(1,:),'-r')

hold on

plot (Max_min_ch(2,:),'-g')


Title('Horizontal at all five levels of decomposition')



figure

Max_min_cv=[A1(11:12,:) A2(11:12,:) A3(11:12,:) A4(11:12,:)];

plot (Max_min_cv(1,:),'-r')

hold on

plot (Max_min_cv(2,:),'-g')


Title('Vertical at all five levels of decomposition')



figure

Max_min_cd=[A1(15:16,:) A2(15:16,:) A3(15:16,:) A4(15:16,:)];

plot (Max_min_cd(1,:),'-r')

hold on

plot (Max_min_cd(2,:),'-g')


103

Title('Diagonal at all five levels of decomposition')



save features Max_min_ca

104

function [A]=feature_extraction_wavelet(ca,ch,cv,cd)

A1=mean(ca);%mean Approximation

A2=std(ca);%std

% A3=norm(ca);%norm

A4=max(ca); %maximum

A5=min(ca);%minimum

A6=mean(ch);%mean Detail

A7=std(ch);%std

% A8=norm(ch);%norm

A9=max(ch); %maximum

A10=min(ch);%minimum

A11=mean(cv);%mean Detail

A12=std(cv);%std

% A13=norm(cv);%norm

A14=max(cv); %maximum

A15=min(cv);%minimum

A16=mean(ch);%mean Detail

A17=std(cd);%std

% A18=norm(cd);%norm

A19=max(cd); %maximum

A20=min(cd);%minimum

Aone=[A1;A2;A4;A5];

Atwo=[A6;A7;A9;A10];

Athree=[A11;A12;A14;A15];

Afour=[A16;A17;A19;A20];

A=[Aone;Atwo;Athree;Afour];

105

function [rough_param]=calculate_roughness_L1A(images)

[a,b,c]=size(images);

PSF = fspecial('gaussian',100,20);%answer(1),answer(2));

i=1;

waviness(:,:,i) = imfilter(images(:,:,i),PSF,'conv');

roughness(:,:,i)=images(:,:,i)-waviness(:,:,i);

n=a*b;

fori=1:c

vectorR(:,i)=reshape(roughness(:,:,i), [1,n]);

vectorW(:,i)=reshape(waviness(:,:,i), [1,n]);

RaR(i)=sum(sum(abs(roughness(:,:,i))))/n; %average roughness

RqR(i)=sqrt(mean(vectorR(:,i).^2)); %RMS roughness

RskR(i)=sum(sum(roughness(:,:,i).^3))/(n*RqR(i)^3); %skewness

RkuR(i)=sum(sum(roughness(:,:,i).^4))/(n*RqR(i)^4); % kurtosis

RaW(i)=sum(sum(abs(waviness(:,:,i))))/n; %average roughness

RqW(i)=sqrt(mean(vectorW(:,i).^2)); %RMS roughness

RskW(i)=sum(sum(waviness(:,:,i).^3))/(n*RqW(i)^3); %skewness

RkuW(i)=sum(sum(waviness(:,:,i).^4))/(n*RqW(i)^4); % kurtosis

end

rough_param(:,1)=RaR;

rough_param(:,2)=RqR;

rough_param(:,3)=RskR;

rough_param(:,4)=RkuR;

rough_param(:,5)=RaW;

rough_param(:,6)=RqW;

rough_param(:,7)=RskW;

rough_param(:,8)=RkuW;

saveall_datarough_param roughness waviness images

106

loadall_data

figure

imagesc(waviness(:,:,1)), colormap(gray)

title ('Waviness Level-1, Approximation')

figure

imagesc(roughness(:,:,1)), colormap(gray)

title('Roughness Level-1 Approximation')

figure

plot(mean(waviness(:,:,1)),'-r')

hold on

plot(mean(roughness(:,:,1)),'g')

legend('Roughness','Waviness')

title(' Level-1 Approximation')

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