Title :
A comparative analysis of R Tree and R+ Tree based image segmentation and reconstruction
Author :
Chatterjee, Priyasmita ; Siddavatam, Rajesh ; Kandula, Pradeep ; Ghosh, Debolina ; Roy, Rishabh
Author_Institution :
Sch. of Comput. Eng., KIIT Univ., Bhubaneswar, India
Abstract :
In this paper we represent a comparative analysis of R-Tree and R+ Tree based image segmentation & reconstruction. Here this algorithm is to select the significant pixel[4] is used to select the physically powerful edges. These are store in R tree and R+ tree for better image reconstruction. The bounding boxes are created by these edges using edge detection technique and the pixels of image sets are encapsulated in the bounding box. By Delaunay triangulation image reconstruction is done.
Keywords :
edge detection; image reconstruction; image segmentation; mesh generation; tree data structures; Delaunay triangulation; R+ tree; bounding boxes; edge detection technique; edge selection; image reconstruction; image segmentation; image sets encapsulation; Erbium; Hafnium; R Tree; R+ Tree; Reconstruction of Image; Selecting Significant Pixel;
Conference_Titel :
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-9-3805-4415-1
