Algorithm 1 GBHSV-Leuk.

Input: Microscopic Image

for F(I${}_t$[m][n]) = I${}_t$[m][n] − I${}_{ut}$[m][n] do

Apply Gaussian Blur technique

if $F\left(n\right)$ is not filled then

Fill pixel

end if

Convert the blurred frame from RGB color space to HSV color space

Convert the hue value using the largest RGB values

Compute the L${}_b$ and U${}_b$ hues

Calculate I${}_m$, which is the mask image

Create 5 × 5 kernel to remove noise

Compute the structuring element S

Compute the dilation function

Apply binary threshold

Compute detection using threshold value and transformation function

Apply Bitwise AND between the Original image and Threshold

end for

Highlight the cancerous cell with contours

return

Output: Image with cancerous cell highlight using contours

Notations in the algorithm:

I${}_t$ = Image under test

m = Number of rows of image pixels

n = Number of columns of image pixels

L${}_b$ = Lower hue

U${}_b$ = Upper hue/ higher hue

I${}_m$ = Mask image

S = Structuring element