Title: Extraction of volumetric features using 2.5D and 3D algorithms

Authors: Mohd. Sherfuddin Khan; Vijay H. Mankar

Addresses: RTM Nagpur University Research Centre, G.H. Raisoni College of Engineering, Nagpur, India ' Electronics and communication Department, Government Polytechnic, Bramhapuri, Maharastra, India

Abstract: A 3D image processing operation like 3D surface detection is carried out using 2D edge detection algorithm on every slice and the processed slices assembled to visualise 3D surface detected image. One can obtain surface detected version of a 3D image by processing the 2D slices using 2D edge detection operation, and consequently the 3D surface detection operation is termed as 2.5D image processing. One could also process the 3D image data using a 3D surface detection algorithm, which is termed as 3D processing. This is not the case with the operation of skeletonisation. One cannot make use of 2.5D skeletonisation operation of 2D slices in order to get skeltonised version of the corresponding 3D image. This paper discusses the discrepancies faced when 2.5D skeletonisation and edge detection of 2D slices of a 3D image is carried out instead of the direct 3D operations of the 3D image.

Keywords: 3D skeletonisation; 3D edge detection.

DOI: 10.1504/IJCNDS.2017.083824

International Journal of Communication Networks and Distributed Systems, 2017 Vol.18 No.3/4, pp.248 - 263

Available online: 18 Apr 2017 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article