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    THE EFFECTS OF NOISE FILTERS ON SEGMENTATION BASED SEEDED REGION GROWING
    (2019) Incetas, Mürsel Ozan; Tanyeri, Ufuk
    Image segmentation is a process of grouping pixels to make parts of objects intodistinct image areas using their texture, edge, color properties. The segmentationprocess plays an important role in the analysis of images and in image processing.One of the techniques developed for segmentation is SRG (Seeded Region Growing).The noise generated during the acquisition of images affects the segmentationsuccess negatively. Filters used to eliminate noise reduce it, but the effect of filteringon the segmentation success is not fully known. In this study, the effects of noise andfilters on the SRG algorithm are investigated. For this purpose, various noises wereadded to Weizmann database images at different levels. Later, filters were appliedto noisy images. Finally, F-Score values were obtained from the images segmentedby the SRG algorithm and compared with the values of the original images.