| Sl. No. |
Author(s) |
Method |
Objective |
| 1 |
Toha et al [4] |
Cluster analysis on thick smear images |
Classification of malaria cells |
| 2 |
Frean [5] |
Morphology based analysis |
Count parasites from individual microscopic images |
| 3 |
Somasekar [6] |
Linear programming based Image segmentation and morphological operations |
Detection of malarial parasite |
| 4 |
Edison et al. [7] |
Image filtering and edge detection |
Analyze the changes of Plasmodium vivax in thin smear erythrocytes images |
| 5 |
Anggraini et al. [8] |
Filtering and Multiple Thresholding |
Detection of Erythrocyte from thin blood smear Image |
| 6 |
Tek, F B et al. [9] |
Area granulometry, Illumination, correction, Scale correction, Foreground and background separation,Color normalization, Feature extraction |
Identification of malaria parasite from thin blood smear image and study the life cycle stage of species |
| 7 |
Elter et al. [10] |
Image Filtering and SVM (Support Vector Machine) |
Detection of malaria parasite from thick smear image |
| 8 |
Mandal et al. [11] |
Optimized normalized cut method using in RGB, YcbCr and HSV (Hue Saturation Value) color space |
Detection of malaria parasite from infected RBC (Red Blood Corpuscle) |
| 9 |
Makkapati et al. [12] |
Optimal saturation threshold on HSV (Hue Saturation Value) color space |
Segmentation of RBC (Red Blood Corpuscle) and Malaria parasite |
| 10 |
Prasad et al. [13] |
Android based image analysis and decision support system |
Identification of species from Giemsa stained thin smear images. |
| 11 |
Hirimutugoda et. al. [16] |
Color normalization, morphological operation, ANN (Artificial Neural Network) based classifier |
Detection of erythrocytes from thin blood smear image. |
| 12 |
Prescott et. al. [14] |
Color and Shape pattern of parasite and RBC (Red Blood Cells) |
Detection of malaria parasite from thick and thin smear image and find parasitaemia |
| 13 |
Linder et. al. [15] |
Local Binary Pattern (LBP), Local Contrast, Scale Invarient Feature Transform (SIFT) and SVM (Support Vector Machine) classifier |
Detection of ring-stage trophozoites from Giemsa stained thin smear image |
