Image Reconstruction Algorithm Using R-Tree Approach and Delaunay Triangulation
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Abstract
To perform image reconstruction, the significant pixels need to be found. For this image segmentation is performed. Image segmentation can be considered as a cluster procedure in feature space. Each cluster can be encapsulated in a bounding box which contains the connected parts of the edges found using edge-detection techniques like canny, sobel or a combination of both. The boxes can further be stored in R-trees using suitable child – parent relationship. In this paper, we will explore to use a combination of canny and sobel edge detection techniques and then store the edges in R-tree to perform image segmentation. Then Delaunay triangulation is performed to produce the reconstructed image.
Keywords: Image Reconstruction, Edge Detection, R-Tree, Delaunay Triangulation
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