Hybrid Speckle Reduction Filter for Corneal OCT Images
| Autor: | Shanty Chacko, H. James Deva Koresh |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
genetic structures
Computer science 02 engineering and technology 03 medical and health sciences symbols.namesake 0302 clinical medicine Optical coherence tomography Cornea 0202 electrical engineering electronic engineering information engineering medicine Computer vision Anisotropic filtering medicine.diagnostic_test Speckle reduction business.industry Speckle noise Filter (signal processing) eye diseases Gaussian filter medicine.anatomical_structure 030221 ophthalmology & optometry symbols 020201 artificial intelligence & image processing sense organs Artificial intelligence Bilateral filter business |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783030518585 |
| DOI: | 10.1007/978-3-030-51859-2_9 |
| Popis: | Optical Coherence Tomography (OCT) is a non-invasive imaging device helpful in capturing the layers of cornea and retina. The OCT images are supportive in understanding the health of an eye during the surgical assessment. Due to the movement of scattering waves from the OCT device, the captured images are usually disturbed with speckle noise. The paper suggests an efficient hybrid filtering technique by combining anisotropic filter, Gaussian filter and bilateral filter to reduce the speckle noise present in the corneal OCT images. The proposed technique is compared with the existing filtering techniques in terms of coefficient correlation and PSNR ratio for performance evaluation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|