© 2017 IEEE. The vision is considered the most important sense in humans, the visual field may be affected by various diseases or conditions that can even be congenital, resulting in a high percentage of people with visual problems, low vision to blindness. In the majority of cases can be corrected with conventional methods, however, if a suitable control could be prevented and up to early detection of various problems affecting visual acuity and visual field. Between visual problems that are presented, we have the corneal ectasia, commonly called keratoconus, whose early detection is not easy to determine, especially in the early stages of development, For this reason, in the present work the simulation and modeling of the human eye in order to determine the degree of involvement of keratoconus, as a tool for early diagnosis Presumptive diagnosis tool for the specialist, in such a way that they can take the necessary actions to control this disease. The information of images of the human eye, are used for the analysis in the various stages of keratoconus, through digital processing developed in free software.
|Translated title of the contribution
|Modelado del ojo humano como herramienta para determinar el grado de compromiso del queratocono mediante el procesamiento de imágenes.
|Published - 26 Oct 2017
|2017 IEEE International Symposium on Systems Engineering, ISSE 2017 - Proceedings - Vienna, Austria
Duration: 11 Oct 2017 → 13 Oct 2017
|2017 IEEE International Symposium on Systems Engineering, ISSE 2017 - Proceedings
|11/10/17 → 13/10/17