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@article{198226,
        author = {Srinivasan M and Sudhan H and Premkumar R and Dr. C. Mathuvanesan},
        title = {Image Processing Pipeline for Diabetic Retinopathy Screening in Fundus Images Using MATLAB},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {14630-14631},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=198226},
        abstract = {Diabetic Retinopathy (DR) is a major complication of diabetes that can lead to permanent blindness if not detected early. This paper presents an automated image processing pipeline developed entirely in MATLAB to screen for DR in retinal fundus images. The pipeline utilizes grayscale conversion, histogram equalization for enhancement, Gaussian filtering for noise reduction, and Canny edge detection for feature extraction. Experimental results on sample datasets demonstrate that this approach effectively identifies pathological lesions through area-based thresholding, making it suitable for initial medical screening.},
        keywords = {Diabetic Retinopathy, Image Processing, MATLAB, Canny Edge Detection, Regionprops.},
        month = {April},
        }