how can i convert RGB to HSV and LAB in this code?

function [H] = MethodMTCD(citRGB, binsR, binsG, binsB, binsTheta)
%%MTCD function
% image = 'D:\Dataset\Corel\346.jpg';
binsTheta = 18;
glcm = 16;
binsR = 4;
binsG = 4;
binsB = 4;
panjangFitur = (binsR*binsG*binsB)+binsTheta+glcm;

% citRGB = 'D:\Project Take Over\CBIR\Dataset\Batik\BatikTest\B2_1.jpg';
% citRGB = imread(image);
R = citRGB(:,:,1);
G = citRGB(:,:,2);
B = citRGB(:,:,3);

% Edge detection Sobel
[ RX, RY ] = SobelEdgeDetection(R);
[ GX, GY ] = SobelEdgeDetection(G);
[ BX, BY ] = SobelEdgeDetection(B);

% |a| dan |b|
a = sqrt( RX.^2 + GX.^2 + BX.^2 );
b = sqrt( RY.^2 + GY.^2 + BY.^2 );
% ab
ab = (RX .* RY) + (GX .* GY) + (BX .* BY);

%%Edge Quantization
[bar, kol] = size(a);
% binsTheta = 18;
theta = zeros(bar,kol);
for i = 1:bar
    for j = 1:kol
        if (a(i,j) == 0 || b(i,j) == 0)
            cosab1= 0;
        else
            cosab1= ab(i,j)/(a(i,j)*b(i,j));          
        end
        theta1 = acosd(cosab1);
        theta(i,j) = floor(theta1 * (binsTheta/180));
        if (theta(i,j) >= binsTheta-1)
            theta(i,j) = binsTheta-1;
        end
    end
end
KuantisasiTheta = theta;

%%Color Quantization 
% mengkuantisasi R menjadi 4 bins, G menjadi 4 bins dan B menjadi 4 bins
% setelah mengkuantisasi, selanjutnya kuantisasi 3 kanal tersebut di gabung
% menjadi 1

% binsR = 4;
KuantisasiR = kuantisasi(binsR, R,255);

% binsG = 4;
KuantisasiG = kuantisasi(binsG, G,255);

% binsB = 4;
KuantisasiB = kuantisasi(binsB, B,255);

KuantisasiColor = (binsB*binsG*KuantisasiR)+(binsB+KuantisasiG) + KuantisasiB;
maxKuantisasi = binsR*binsG*binsB;

%%texton detection
%%feature representation
%MTCD
[H, HH, HV, HLD, HRD, HHB, HVR] = FeatureRepMTCD(KuantisasiColor, KuantisasiTheta, ...
    maxKuantisasi, binsTheta ); 
end

Answer 1

[Image Analyst]

Simply use the functions rgb2hsv() and rgb2lab():

labImage = rgb2lab(rgbImage);
hsvImage = rgb2hsv(rgbImage);