DocumentCode
707604
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
fYear
2015
fDate
11-13 March 2015
Firstpage
2013
Lastpage
2018
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location
New Delhi
Print_ISBN
978-9-3805-4415-1
Type
conf
Filename
7100594
Link To Document