Automatic Ocular Alignment Evaluation for Strabismus Detection Using Index of Phylogenetic Diversity and Support Vector Machine

Autor: Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Johnatan Carvalho Souza, Thayane de Oliveira Simoes, João Dallyson Sousa de Almeida
Rok vydání: 2019
Předmět:
Zdroj: Anais do XV Workshop de Visão Computacional (WVC 2019).
DOI: 10.5753/wvc.2019.7631
Popis: Strabismus is a pathology that affects the parallelism between two eyes. Estimates show that 1.3% to 3.5% of children aged six months to six years have strabismus around the world. Strabismus can lead to irreversible loss of vision, so early detection and appropriate treatment increase the likelihood of alignment being restored to normal. That said, in this study we proposed an automatic evaluation system to detect strabismus in face images, analyzing the horizontal positioning of the limb center in relation to the center of the corners of the eyes. The proposed method consists of five steps: (1) acquisition, (2) detection of the eye region, (3) segmentation and reconstruction of the sclera, (4) detection of the limb region and corners of the eyes and (5) identification of the presence of strabismus, with this approach we obtain 90.1% sensitivity, 100% specificity and 91.1% accuracy.
Databáze: OpenAIRE