Automatic grading system for human tear films
| Autor: | A. Mosquera, Beatriz Remeseiro, Eilidh Martin, Katherine M. Oliver, Alan Tomlinson, Noelia Barreira |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
education.field_of_study
Measure (data warehouse) Computer science business.industry Population Color space Range (mathematics) Interferometry Categorization Image texture Artificial Intelligence Pattern recognition (psychology) Computer vision Computer Vision and Pattern Recognition Artificial intelligence education business |
| Zdroj: | Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP |
| ISSN: | 1433-755X 1433-7541 |
| DOI: | 10.1007/s10044-014-0402-x |
| Popis: | Dry eye syndrome is a prevalent disease which affects a wide range of the population and has a negative impact on their daily activities, such as driving or working with computers. Its diagnosis and monitoring require a battery of tests which measure different physiological characteristics. One of these clinical tests consists in capturing the appearance of the tear film using the Doane interferometer. Once acquired, the interferometry images are classified into one of the five categories considered in this research. The variability in appearance makes the use of a computer-based analysis system highly desirable. For this reason, a general methodology for the automatic analysis and categorization of interferometry images is proposed. The development of this methodology included a deep study based on several techniques for image texture analysis, three color spaces and different machine learning algorithms. The adequacy of this methodology was demonstrated, achieving classification rates over 93 %. Also, it provides unbiased results and allows important time savings for experts. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink