Gesture Recognition using Neural Network in MATLAB Code Part 3

preprocess_gesture.m 

If you have not seen previous post then please go through it first then come back   go to Previous Part

Create a Menu

clc

F = MENU('Choose a database set','Test Set','Train Set'); 

if F==1

K = MENU('Choose a file','Test O');

FOR TESTING A DATASET

if K == 1

    loop=5 

    for i=1:loop 

       string = ['test\O\' num2str(i) '.tif']; 

       Rimages{i} = imread(string); 

    end 

 end 

 end 

end;

FOR TRAINING

if F==2 

    loop=3    %Set loop to 3. All train sets have 3 images 

    L = MENU('Choose a file','Train O'); 

if L == 1 

    for i=1:loop 

    string = ['train\O\' num2str(i) '.tif']; 

    Rimages{i} = imread(string); 

    end

end 

end 

Now do what I am doing here

T{i}=imresize(Timages{i},[150,140]); 

    x = [0 -1 1];                               

    y = [0 1 -1]';

dx{i} = convn(T{i},x,'same');

dy{i} = convn(T{i},y,'same');

gradient{i} = dy{i} ./dx{i};

theta{i} = atan(gradient{i});

cl{i}= im2col(theta{i},[1 1],'distinct');

 N{i} = (cl{i}*180)/3.14159265359; .

c1{i}=(N{i}>0)&(N{i}<10 div="" nbsp="">

    s1{i}=sum(c1{i}); 

    c2{i}=(N{i}>10.0001)&(N{i}<20 div="" nbsp="">

    s2{i}=sum(c2{i}); 

    c3{i}=(N{i}>20.0001)&(N{i}<30 div="" nbsp="">

    sum(c3{i}); 

    s3{i}=sum(c3{i}); 

    c4{i}=(N{i}>30.0001)&(N{i}<40 div="" nbsp="">

    sum(c4{i}); 

    s4{i}=sum(c4{i}); 

    c5{i}=(N{i}>40.0001)&(N{i}<50 div="" nbsp="">

    sum(c5{i}); 

    s5{i}=sum(c5{i}); 

    c6{i}=(N{i}>50.0001)&(N{i}<60 div="" nbsp="">

    sum(c6{i}); 

    s6{i}=sum(c6{i}); 

    c7{i}=(N{i}>60.0001)&(N{i}<70 div="" nbsp="">

    sum(c7{i}); 

    s7{i}=sum(c7{i}); 

    c8{i}=(N{i}>70.0001)&(N{i}<80 div="" nbsp="">

    sum(c8{i}); 

    s8{i}=sum(c8{i}); 

    c9{i}=(N{i}>80.0001)&(N{i}<90 div="" nbsp="">

    sum(c9{i}); 

    s9{i}=sum(c9{i}); 

    c10{i}=(N{i}>90.0001)&(N{i}<100 div="" nbsp="">

    sum(c10{i}); 

    s10{i}=sum(c10{i}); 

    c11{i}=(N{i}>-89.9)&(N{i}<-80 div="" nbsp="">

    sum(c11{i}); 

    s11{i}=sum(c11{i}); 

    c12{i}=(N{i}>-80.0001)&(N{i}<-70 div="" nbsp="">

    sum(c12{i}); 

    s12{i}=sum(c12{i}); 

    c13{i}=(N{i}>-70.0001)&(N{i}<-60 div="" nbsp="">

    sum(c13{i}); 

    s13{i}=sum(c13{i}); 

    c14{i}=(N{i}>-60.0001)&(N{i}<-50 div="" nbsp="">

    sum(c14{i}); 

    s14{i}=sum(c14{i}); 

    c15{i}=(N{i}>-50.0001)&(N{i}<-40 div="" nbsp="">

    sum(c15{i}); 

    s15{i}=sum(c15{i}); 

    c16{i}=(N{i}>-40.0001)&(N{i}<-30 div="" nbsp="">

    sum(c16{i}); 

    s16{i}=sum(c16{i}); 

    c17{i}=(N{i}>-30.0001)&(N{i}<-20 div="" nbsp="">

    sum(c17{i}); 

    s17{i}=sum(c17{i}); 

    c18{i}=(N{i}>-20.0001)&(N{i}<-10 div="" nbsp="">

    sum(c18{i}); 

    s18{i}=sum(c18{i}); 

    c19{i}=(N{i}>-10.0001)&(N{i}<-0 .0001="" div="" nbsp="">

    sum(c19{i}); 

    s19{i}=sum(c19{i}); 

    D{i}= [s1{i} s2{i} s3{i} s4{i} s5{i} s6{i} s7{i} s8{i} s9{i} s10{i} s11{i} s12{i} s13{i} s14{i} s15{i} s16{i} s17{i} s18{i} s19{i}]; 

close(w);

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This is the end of gesture recognition

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