Extraction of volumetric features using 2.5D and 3D algorithms Online publication date: Mon, 24-Apr-2017
by Mohd. Sherfuddin Khan; Vijay H. Mankar
International Journal of Communication Networks and Distributed Systems (IJCNDS), Vol. 18, No. 3/4, 2017
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.
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