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    Image Segmentation

    Abstract: In computer vision, image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels, also known as super-pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze.[1][2] Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of …

    Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 2, 2017 · pp. 55–56 Read article

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