Euclidean Distance Transform of 3D Images on L.A.R.P.B.S. model

Euclidean Distance Transform of 3D Images on L.A.R.P.B.S. model

An Efficient Parallel Algorithm

LAP Lambert Academic Publishing ( 2010-07-26 )

€ 49,00

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EDT of 2-D and 3-D images is one of the useful tools in various image processing algorithms. It is one of the basic operations in image processing and computer vision fields and essentially used in expanding, shrinking, thinning, segmentation, clustering and computing of images, object reconstruction, etc. It converts a binary image consisting of black and white voxels to a representation where each voxel has the Euclidean distance of the nearest black voxel. The objective of this work is to derive, implement and analyze an efficient time-optimal and scalable algorithm for EDT computation of 3-D images, on a recently proposed multiprocessor architecture, known as Linear Array with Reconfigurable Pipe-lined Bus System (LARPBS).

Book Details:

ISBN-13:

978-3-8383-7594-6

ISBN-10:

3838375947

EAN:

9783838375946

Book language:

English

By (author) :

Piyush Diwan

Number of pages:

60

Published on:

2010-07-26

Category:

Informatics