A dataset for automatic contrast enhancement of microscopic malaria infected blood RGB images

Abstract

In this article we introduce a malaria infected microscopic images dataset for contrast enhancement which assist for malaria diagnosis more accurately. The dataset contains around two hundred malaria infected, normal, species and various stages of microscopic blood images. We propose and experimentally demonstrate a contrast enhancement technique for this dataset. This simple technique increases the contrast of an image and hence, reveals significant information about malaria infected cells. Experiments on the dataset show the superior performance of our proposed method for contrast enhancement of malaria microscopic imaging. Keywords: Malaria diagnosis, Low contrast images, Histogram equalization, Microscopic RGB blood images, Contrast enhancement