This article reports a three-stage computational approach for the automatic detection of Leishmania protozoan in light microphotograph from bone marrow sample. extracted from patients with visceral Leishmaniasis. The first stage corresponds to the pre-processing of the microscopy images, in which initially a low-pass filter or softener was applied to attenuate the undesired information associated with the images and preserve the edges in the objects contained in the images. The pre-processing stage concluded with the application of