Image segmentation by contextual region growing based on fuzzy classification

    ATSIP, pp. 489-493, 2016.

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    Abstract:

    This paper presents a semantic image segmentation approach that combines a fuzzy region classification and a contextual region-growing. First image is over-segmented and a domain knowledge based fuzzy classification is applied on obtained regions to provide a fuzzy semantic labeling. This allows the proposed approach to operate at high le...More

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