To detect an edge of the image, the intensity of the center pixel $($E$)$ with the value is changed to

$E-F-G-H-$I $).$ Repeat this for every pixel, and for every color channel $($red$,$ green, and blue$)$ of the image. You

need to define and implement a function to do this DIP. Note that you have to adjust the boundaries for the newly gen$-$

erated pixel values, i$.$e$.,$ the value must be within the range of $0,255.$ To achieve this, we will use a technique called

saturated arithmetic. Specifically, you calculate the intensity values first with full integer precision $($use a temporary

variable of type int$).$ Next, you change any value larger than $255$ to $255,$ and any value smaller than $0$ to $0.$ Finally,

you assign the resulting saturated value to the target pixel intensity $($which is an unsigned char$).$

Note that special care has to be taken for pixels located at the image boundaries. For ease of implementation, you may

choose to ignore the pixels at the border of the image where no neighbor pixels exist.

You need to define and implement the following function to do this DIP.

$/*$ Find edge of an image $*/$

void Edge$($unsigned char R$[$WIDTH$][$HEIGHT$],$

unsigned char G$[$WIDTH$][$HEIGHT$],$

unsigned char B$[$WIDTH$][$HEIGHT$])$;

The edge image should look like the figure shown in Figure $4($b$)$:

Please enter your choice: $6$

"Edge" operation is done!

Load a PPM image

Save an image in PPM and JPEG format

Change a color image to Black & White

Make a negative of an image

Color filter an image

Sketch the edge of an image

Shuffle an image

Flip an image vertically

Mirror an image horizontally

$0$: Add Border to an image

$11$: Test all functions

$12$: Exit

please make your choice: