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Enhancement of colour fundus image and FFA image using RETICA
- Source :
- 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences.
- Publication Year :
- 2012
- Publisher :
- IEEE, 2012.
-
Abstract
- Diabetic Retinopathy (DR) is a vision loss impairment due to complications arising from the diabetic condition and affects the retina and resulting pathologies can be monitored by analysing the colour fundus image. However, in retinal fundus images, the contrast between the retinal vasculature and the background is very low and varies within the image making visualisation and analysis of small retinal vasculatures difficult. Therefore, enhancement of the fundus image is important to provide the best visualization of the retinal blood vessels. Fluorescein angiogram overcomes this imaging problem but it is invasive and leads to other physiological problems. In this research work, a non-invasive digital image enhancement technique called RETICA has been developed that overcomes the problem of varied and low contrast in fundus images. RETICA first normalises the varied contrast using a Retinex based method that separates the illumination from the reflectance part of the image followed by ICA that forms the original retinal pigment makeup namely the macular, haemoglobin and melanin retinal pigment. The haemoglobin image exhibits the highest contrast for retinal vessels. Results based on a dataset of 13 fundus images show that RETICA successfully normalises the low and varied contrast and enhances the retinal vessels. It achieved a better average contrast improvement factor of up to 5.56 compared to the invasive FFA with 5.34. This improvement in contrast reduces the need for fluorescein angiogram in DR assessment.
- Subjects :
- Retina
medicine.medical_specialty
genetic structures
Color constancy
business.industry
Fundus image
media_common.quotation_subject
Retinal
Diabetic retinopathy
Fundus (eye)
medicine.disease
eye diseases
chemistry.chemical_compound
Digital image
medicine.anatomical_structure
chemistry
Ophthalmology
medicine
Contrast (vision)
Computer vision
sense organs
Artificial intelligence
business
media_common
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences
- Accession number :
- edsair.doi...........e8676a186d0944a199ec03943b6f5ca5
- Full Text :
- https://doi.org/10.1109/iecbes.2012.6498205