Algorithm 1: Procedures for segmentation of thin blood smears of P. falciparum and P. vivax

Input: Ring, trophozoite, schizont, and gametocyte images

Output: Segmented images of P. falciparum and P. vivax

Procedures:

Apply the MGCS contrast enhancement technique to the original malaria image.

2.Extract the G colour component from the enhanced RGB image.

3.Apply the selected segmentation technique that had been determined from the analysis of different segmentation techniques.

4.Check the area of background region, Area[bg] that satisfies this condition,

a. If the value of Area[bg] >= 450,000 pixels, apply the 3$\times$3 pixels median filter.

b. Else, go to step 1.

5.Apply the seeded region growing area extraction algorithm.

Note: Regions not in the ranges of 150–1000 and 3500–30,000 were labeled as non-malaria parasites and excluded from the segmented image during this process.

6.Apply the 5 $\times$ 5 pixels minimum filter.

7.Perform the 5 $\times$ 5 pixels of the erosion process.

8.Check the area of the foreground region, Area[fg] that satisfies this condition,

a. If the value of Area[fg] >= 9000 pixels, apply the seeded region growing area extraction algorithm                 Note: Regions not in the 3500–30,000 range were labeled as non-malaria parasites and excluded from the segmented image during this process.             b. Colorize the segmented image based on the enhanced RGB image.

9.End.