Have I done something wrong with this code for edge detection on extreme gradient value

I have first translated from RGB to HSV and separated to hue and saturation and intensity component h(i,j),s(i,j),v(i,j)

5*5 boundary detection operator window with original image f(i,j) and the central pixel of the window (i,j) is the boundary pixel to be detected,(x,y) is one of the eight neighborhood pixels of the central pixel

the central pixel's hue saturation and brightness in the direction of theta(0 to 315 with 45 degree spacing each) are defined as:

hθ(i, j)= h(x, y)-h(i, j)

sθ(i, j)= s(x, y-s (i, j)

vθ(i, j)=v(x, y)-v(i, j)

   w=[1,1,1,1,1;1,1,1,1,1;1,1,-24,1,1;1,1,1,1,1;1,1,1,1,1];

gradient is

gθ(i, j)= hθ(x, y)+ sθ(i, j)+ vθ(x, y);

code

function g=exgradient(hsv)

hsv=rgb2hsv(rgb);

h=hsv(:,:,1);

s=hsv(:,:,2);

v=hsv(:,:,3);

theta=1:45:315

w=[1,1,1,1,1;1,1,1,1,1;1,1,-24,1,1;1,1,1,1,1;1,1,1,1,1]; 

for i=1:183

      for j=1:276

          h(theta)*(i,j)=h(x,y)-h(i,j);

          s(theta)*(i,j)=s(x,y)-s(i,j);

          v(theta)*(i,j)=v(x,y)-v(i.j);

      end

end

Answer 1

[Image Analyst]

Looks like 3x3 to me, not 5x5. Just have your kernel be

kernel = [-1 -1 -1;-1 8 -1;-1 -1 -1] / 9; % Average pixel difference.
edgeImage = conv2(double(grayImage), kernel, 'same'); % the filter.

[Poonam]

Thanks,I have edited and have posted some code related to the question please help me out whether i am correct with my code