Detection of Malaria Based on the Blood Smear Images Using Image Processing Techniques

Even though the world has been advanced technologically, the disease called malaria life-sucking disease. The disease malaria is transmitted by the female anopheles mosquito. In 2015, 91 countries were affected by the malaria. To prevent the mortality rate, WHO recommends the diagnosis of malaria in laboratories. However, the manual assessment of malaria through the microscope is prone to false detection because of some artifacts. To avoid these kinds of errors, the computerized digital image processing techniques must be implemented. The project proposes an algorithm to detect the malaria parasite. The images are acquired from the giemsastained thin blood smear slides and the captured color images are converted in to gray-scale images, the noise reduction technique, contrast stretching for the image enhancement are employed. The infected erythrocytes are segmented, classified using support vector machine for accurate detection of the parasite and to effectively classify positive and negative cases of