• RenuBala
• R. C. Gangwar

Instinctive recognition of diabetic retinopathy wounds, like exudates can provide opportunity to primary identifies certain diseases. Recently, several methods of fundus extraction techniques are proposed which can detect the exudates in fundus images in more promising manner. However, the issue of noise in fundus images is ignored in the majority of existing literature. Although Neighborhood Estimator before filling filter has shown significant results over available techniques, but it is poor in its speed. Also, it is not so efficient for various noises at a same time. Therefore, to improve the accuracy of exudate extraction further an integrated neighbourhood estimator before filling filter with edge weakening filter technique is proposed in this paper. The integrated neighbourhood estimator before filling filter with edge weakening filter will use improved EDGE WEAKNING filter which enables us to detect exudates even in highly corrupted noisy images.Experimental results shown that the proposed technique is better as compared to other techniques.

Segmentation based on Clustering,Medical Images,Fundus images,Retinal Vessel Segmentation

" INTEGRATED EDGE WEAKNING FILTER BASED NEIGHBORHOOD ESTIMATOR BEFORE FILLING FOR EXUDATE SEGMENTATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.332-341, June 2019, Available :http://www.jetir.org/papers/JETIR1907H51.pdf

" INTEGRATED EDGE WEAKNING FILTER BASED NEIGHBORHOOD ESTIMATOR BEFORE FILLING FOR EXUDATE SEGMENTATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp332-341, June 2019, Available at : http://www.jetir.org/papers/JETIR1907H51.pdf