A Review on Various Exudate Segmentation Techniques in Fundus Images
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 5
Abstract
Segmentation is a technique of dividing given image into numerous sectors. Its objective is to categorize image into various regions in such a way that every potential object in image get individual sector. Instinctive recognition of diabetic retinopathy wounds, like exudates can provide opportunity to identify certain diseases. Recently, several methods of fundus extraction techniques are proposed which can detect the exudates in fundus images in more promising manner. The related work has found that the issue of noise in fundus images is ignored in the majority of existing literature. Although Gabor filter bank has shown significant results over available techniques, but it is poor in its speed. Also it is not very effective for different type of noises at the same time. The overall objective of this paper is to review numerous image segmentation techniques for fundus image segmentation, and find suitable limitations in them. Therefore to improve the accuracy of exudate extraction further a hybrid Gabor filter bank with trilateral based filtering technique is proposed in this dissertation. The hybrid Gabor filter bank with trilateral based filtering will use improved trilateral based filtering which enables us to detect exudates even in highly corrupted noisy images.
Authors and Affiliations
Er. Kanika Bajaj, Er. Navjot Kaur
Keywords
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