Supervised and unsupervised segmentation of multispectral retina images
نویسندگان
چکیده
The segmentation method of multispectral human eye images suitable in ophthalmic diagnosis of structural retinal features characteristic for glaucoma and diabetic retinopathy diseases is presented. A multispectral imaging was realized in 21 spectral windows, between 400nm and 740nm, on a base of liquid crystal tunable filter and a high sensitivity monochrome camera. Results of supervised and unsupervised segmentation procedures of retina images, adopted from a color fundus device, are presented. Słowa kluczowe: obrazowanie wielospektralne, nadzorowane i nienadzorowane uczenie maszynowe, diagnostyka chorób dna oka. segmentacja obrazów wielokanałowych
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