Title :
An expeditious Adaptive R+ tree based Image Segmentation and fast reconstruction
Author :
Ghosh, Debolina ; Chatterjee, Priyasmita ; Siddavatam, Rajesh ; Roy, Rishabh
Author_Institution :
Dept. of Comput. Sci., KIIT Univ., Bhubaneswar, India
Abstract :
In this paper Image Segmentation and fast Image Reconstruction technique by using Adaptive R + trees is proposed. The bounding box overlap in R-tree segmentation has been overcome in R+ tree to improve and enhance the image reconstruction since no two bounding boxes will have a common region. Each bounding box contains the edges which is found by edge detection techniques and the pixel set is encapsulated in that bounding box. Image reconstruction is done by taking the significant pixels over delaunay triangulation. The result of proposed methodology is compared with the results of other image reconstruction methods.
Keywords :
edge detection; image reconstruction; image segmentation; mesh generation; trees (mathematics); Delaunay triangulation; bounding box overlap; edge detection techniques; expeditious adaptive R+ tree based image segmentation; fast Image Reconstruction technique; image reconstruction methods; pixel set; Erbium; Adaptive R+ Tree; Delaunay Triangulation; Image Reconstruction; Image Segmentation;
Conference_Titel :
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-9-3805-4415-1