Desarrollo de una herramienta de apoyo para la detección y cuantificación de niveles de estrabismo a partir de imágenes oculares en primera infancia y sector educativo superior de la ciudad de Pamplona.

Abstract

In this work, the development of a support tool was proposed, both manual and automatic, which allows the detection of different degrees of strabismus in infant and adult patients. The methodology to be used has two fundamental phases: a pre processing stage and a processing stage. In the pre-processing stage, we try to improve the quality of the images by eliminating unnecessary elements through contrast enhancement algorithms, making cuts to obtain areas of interest, among others. The processing stage is based on mathematical calculations to find distances between objects of interest, which will determine, according to the value obtained, the degree of pathology present in the patient. These distances will be found manually or automatically depending on the user. It was desired that the database be provided by a specialized center but due to the world crisis in which we are currently affected by the Covid-19, it was obtained in a personal and close way but still giving good results. Similarly, a collection of images corresponding to the user interface is presented as a final product. Both the processing and the graphic interface were done in the MATLAB software.