Logo
Logo

Goldsmiths - University of London

Binary Tomography Reconstruction by Particle Aggregation

Blackwell, Tim M. and al-Rifaie, Mohammad Majid. 2016. Binary Tomography Reconstruction by Particle Aggregation. Lecture Notes in Computer Science, 9597, pp. 754-769. ISSN 0302-9743 [Article]

[img]
Preview
Text
al-Rifaie.pdf - Accepted Version

Download (952kB) | Preview

Abstract or Description

This paper presents a novel reconstruction algorithm for binary tomography based on the movement of particles. Particle Aggregate Reconstruction Technique (PART) supposes that pixel values are particles, and that the particles can diffuse through the image, sticking together in regions of uniform pixel value known as aggregates. The algorithm is tested on four phantoms of varying sizes and numbers of forward projections and compared to a random search algorithm and to SART, a standard algebraic reconstruction method. PART, in this small study, is shown to be capable of zero error reconstruction and compares favourably with SART and random search.

Item Type: Article

Identification Number (DOI):

https://doi.org/10.1007/978-3-319-31204-0_48

Keywords:

Binary tomography, Discrete tomography, Particle aggregation, Underdetermined linear systems

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
15 March 2016Published Online

Item ID:

17237

Date Deposited:

21 Mar 2016 08:54

Last Modified:

29 Jan 2018 12:04

Peer Reviewed:

Yes, this version has been peer-reviewed.

URI: http://research.gold.ac.uk/id/eprint/17237

View statistics for this item...

Edit Record Edit Record (login required)