A comparative analysis of R Tree and R+ Tree based image segmentation and reconstruction

Computing for Sustainable Global Development(2015)

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摘要
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.
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关键词
edge detection,image reconstruction,image segmentation,mesh generation,tree data structures,delaunay triangulation,r+ tree,bounding boxes,edge detection technique,edge selection,image sets encapsulation,r tree,reconstruction of image,selecting significant pixel,erbium,hafnium
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