Abstract
The image reconstruction using adaptive R tree based segmentation and linear B- splines is addressed in this paper. We used our own significant pixel selection method to use a combination of canny and sobel edge detection techniques and then store the edges in an adaptive R tree to enhance and improve image reconstruction. The image set can be encapsulated in a bounding box which contains the connected parts of the edges found using edge-detection techniques. Image reconstruction is done based on the approximation of image regarded as a function, by B-spline over adapted Delaunay triangulation. The proposed method is compared with some of the existing image reconstruction spline models.
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Verma, R., Siddavatam, R. (2012). A Fast Image Reconstruction Algorithm Using Adaptive R-Tree Segmentation and B-Splines. In: Mathew, J., Patra, P., Pradhan, D.K., Kuttyamma, A.J. (eds) Eco-friendly Computing and Communication Systems. ICECCS 2012. Communications in Computer and Information Science, vol 305. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32112-2_24
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DOI: https://doi.org/10.1007/978-3-642-32112-2_24
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