Soulaiman Bassel

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With the rapid development in remote sensing, digital image processing becomes an important tool for quantitative and statistical interpretation of remotely sensed images. These images, often, contain complex and natural scenes. The constant increase in the amount of data to treat issued from satellites images, has made automatic content extraction and(More)
We present in this paper an image segmentation approach that combines a fuzzy semantic region classification and a context based region-growing. Input image is first over-segmented. Then, prior domain knowledge is used to perform a fuzzy classification of these regions to provide a fuzzy semantic labeling. This allows the proposed approach to operate at(More)
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