Paper
3 September 2008 Segmentation of three-dimensional scenes encoded in digital holograms
Author Affiliations +
Abstract
This study investigates segmentation algorithms applicable to digital holography. An assessment of image segmentation tecnhniques applied to intensity images of reconstructions of digital holograms is provided. Digital holography differs from conventional imaging as 3D information is encoded. This allows depth information to be exploited so that focusing of 3D objects, or part there of, at different depths can be achieved. In this paper, segmentation of features is attained in microscopic and macroscopic scenes. We investigate a number of recently proposed segmentation techniques including (i) depth from focus, (ii) active contours and (iii) hierarchical thresholding. The influence of noise reduction on the segmentation capabilities of each of the techniques on these scenes is demonstrated. For the macrocsopic scenes, each technique is applied before and after speckle noise reduction is performed using a wavelet based approach. The performance of the segmentation techniques on the intensity information obtained from reconstructed holograms of microscopic scenes is also investigated before and after twin-image reduction has been applied. A comparison of the techniques and their performances in these circumstances is provided.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Karen M. Molony, Conor P. McElhinney, Bryan M. Hennelly, and Thomas J. Naughton "Segmentation of three-dimensional scenes encoded in digital holograms", Proc. SPIE 7072, Optics and Photonics for Information Processing II, 707209 (3 September 2008); https://doi.org/10.1117/12.796163
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Digital holography

Holograms

Speckle

3D image reconstruction

Reconstruction algorithms

Holography

Back to Top