This is first code

$\%$ Load an image

img $=$ imread$(\text{'}$image$3.$jpg$\text{'})$;

$\%$ Display the original image

figure, imshow$($img$),$ title$(\text{'}$Original Image'$)$;

$\%$ Convert the image from RGB to HSV color space for easier color segmentation

hsv$\_$img $=$ rgb$2$hsv$($img$)$;

figure;

$\%$ Define thresholds for the red and green colors in the HSV space

$\%$ Adjust these ranges based on your image specifics and the colors you want to segment

colors $=\{$

'red', $[0\mathrm{.}00\mathrm{.}250\mathrm{.}250\mathrm{.}5]$; $\%$ Hue range for red, Saturation min, Value min

'green', $[0\mathrm{.}00\mathrm{.}150\mathrm{.}250\mathrm{.}5]\%$ Hue range for green, Saturation min, Value min

$\}$;

$\%$ Initialize a figure for displaying multiple outputs

$\%$ Loop through each color and process segmentation

for i $=1$:size$($colors$,1)$

color$\_$name $=$ colors$\{$i$,1\}$;

hue$\_$min $=$ colors$\{$i$,2\}(1)$;

hue$\_$max $=$ colors$\{$i$,2\}(2)$;

sat$\_$min $=$ colors$\{$i$,2\}(3)$;

val$\_$min $=$ colors$\{$i$,2\}(4)$;

$\%$ Create a binary mask where specific color areas are white

color$\_$mask $=($hsv$\_$img$($:$,$:$,1)>=$ hue$\_$min & hsv$\_$img$($:$,$:$,1)<=$ hue$\_$max$)$ & $...$

$($hsv$\_$img$($:$,$:$,2)>=$ sat$\_$min$)$ & $...$

$($hsv$\_$img$($:$,$:$,3)>=$ val$\_$min$)$;

$\%$ Apply morphological operations to clean up the mask

$\%$ Remove noise using opening with a square element

color$\_$mask $=$ imopen$($color$\_$mask, strel$(\text{'}$rectangle$\text{'},[33]))$;

$\%$ Fill holes using closing with a square element

color$\_$mask $=$ imclose$($color$\_$mask, strel$(\text{'}$rectangle$\text{'},[55]))$;

$\%$ Segment the color from the original image

color$\_$segmented $=$ img;

color$\_$segmented$($~repmat$($color$\_$mask, $[1,1,3]))=0$;

$\%$ Display the mask and the segmented image

subplot$(2,$ size$($colors$,1),$ i$)$;

imshow$($color$\_$mask$),$ title$([$color$\_$name $\text{'}$ Mask'$])$;

subplot$(2,$ size$($colors$,1),$ size$($colors$,1)+$i$)$;

imshow$($color$\_$segmented$),$ title$([$color$\_$name $\text{'}$ Segmented'$])$;

end

ans this is second code

$\%$ Load an image

image $=$ imread$(\text{'}$K:$/$Belg$/$cg$/$Turkey$.$jpg$\text{'})$;

$\%$ Convert the image from RGB to HSV

hsv$\_$image $=$ rgb$2$hsv$($image$)$;

$\%$ Define initial HSV range for segmentation $($example values for red color$)$

h$\_$min $=0$;

s$\_$min $=0\mathrm{.}5$;

v$\_$min $=0\mathrm{.}5$;

h$\_$max $=0\mathrm{.}1$;

s$\_$max $=1$;

v$\_$max $=1$;

$\%$ Create a mask for the selected color

mask $=($hsv$\_$image$($:$,$:$,1)>=$ h$\_$min$)$ & $($hsv$\_$image$($:$,$:$,1)<=$ h$\_$max$)$ & $...$

$($hsv$\_$image$($:$,$:$,2)>=$ s$\_$min$)$ & $($hsv$\_$image$($:$,$:$,2)<=$ s$\_$max$)$ & $...$

$($hsv$\_$image$($:$,$:$,3)>=$ v$\_$min$)$ & $($hsv$\_$image$($:$,$:$,3)<=$ v$\_$max$)$;

$\%$ Apply dilation to enhance the segmentation result

SE $=$ ones$(5)$; $\%$ Define a $5$x$5$ square structuring element

dilated$\_$mask $=$ imdilate$($mask$,$ SE$)$;

$\%$ Apply the dilated mask to the original image

result $=$ bsxfun$($@times, image, cast$($dilated$\_$mask, 'like', image$))$;

$\%$ Display the original image, mask, and the result

figure;

subplot$(1,3,1)$;

imshow$($image$)$;

title$(\text{'}$Original Image'$)$;

subplot$(1,3,2)$;

imshow$($mask$)$;

title$(\text{'}$Mask$\text{'})$;

subplot$(1,3,3)$;

imshow$($result$)$;

title$(\text{'}$Result with$$Dilation$\text{'})$;

I want you to do that make second code like first code