PROTÓTIPO DE SOFTWARE PARA CONTAGEM DO MICRORGANISMO ESTÁTICO Trichoderma harzianum

Abstract

Many laboratory analyzes are done manually, time-consuming and error-prone. An example of this is a fungal spore count that is often biological, as the professional does not manually control a spore and is not adjustable, the count is incremented. Therefore, faced with this scenario of need, a problem arises of how to achieve a reduction in error time and in the count of static microorganisms. For this, there is the computation of a subarea called image processing that can perform various manipulations on images for the desired purpose. This problem is presented based on the potential that Computing has with image processing, this research aims to develop a mobile application for a semi-automatic count of static microorganisms using Image Processing techniques, therefore, constituting a need for image acquisition of the spores are in a spore chamber in an image projected onto a device's pre-processing medium and performed on the user's presentation by the mobile device. All this image processing is done with OpenCV (Open Source Computer Vision Library), a library developed for image processing and computer vision. This results in a matter of reduced time for counting,