Skip to Content
You are currently on the new version of our website. Access the old version .

Journal of Imaging, Volume 4, Issue 11

2018 November - 13 articles

Cover Story: In this paper, we present the use of mixed-scale dense convolutional neural networks to improve tomographic reconstruction from limited data. Standard reconstruction algorithms tend to produce inaccurate images when presented with limited data, or have prohibitively high computational costs. Existing machine learning approaches have promising results for improving image quality, but have several disadvantages when applied to large tomographic images. Mixed-scale dense networks are specifically designed to avoid these disadvantages, and in this paper we show that they can significantly improve reconstruction quality for various types of data limitations compared with existing algorithms. View this paper.
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (13)

  • Article
  • Open Access
11 Citations
5,569 Views
16 Pages

20 November 2018

Materials with a complex visual appearance, like goniochromatic or non-diffuse, are widely used for the packaging industry. Measuring optical properties of such materials requires a bidirectional approach, and therefore, it is difficult and time cons...

  • Article
  • Open Access
6 Citations
5,709 Views
9 Pages

3D Printing Endobronchial Models for Surgical Training and Simulation

  • Zhuo Zhao,
  • Sheng Xu,
  • Bradford J. Wood and
  • Zion Tsz Ho Tse

16 November 2018

Lung cancer is the leading cause of cancer-related deaths. Many methods and devices help acquire more accurate clinical and localization information during lung interventions and may impact the death rate for lung cancer. However, there is a learning...

  • Article
  • Open Access
1 Citations
4,949 Views
12 Pages

Optimal Color Lighting for Scanning Images of Flat Panel Display using Simplex Search

  • HyungTae Kim,
  • EungJoo Ha,
  • KyungChan Jin and
  • ByungWook Kim

12 November 2018

A system for inspecting flat panel displays (FPDs) acquires scanning images using multiline charge-coupled device (CCD) cameras and industrial machine vision. Optical filters are currently installed in front of these inspection systems to obtain high...

  • Article
  • Open Access
16 Citations
6,245 Views
24 Pages

12 November 2018

We present image processing algorithms for a new technique of ceramic proppant crush resistance characterization. To obtain the images of the proppant material before and after the test we used X-ray microtomography. We propose a watershed-based unsu...

  • Article
  • Open Access
32 Citations
6,809 Views
14 Pages

Incorporating Surface Elevation Information in UAV Multispectral Images for Mapping Weed Patches

  • Theodota Zisi,
  • Thomas K. Alexandridis,
  • Spyridon Kaplanis,
  • Ioannis Navrozidis,
  • Afroditi-Alexandra Tamouridou,
  • Anastasia Lagopodi,
  • Dimitrios Moshou and
  • Vasilios Polychronos

9 November 2018

Accurate mapping of weed distribution within a field is a first step towards effective weed management. The aim of this work was to improve the mapping of milk thistle (Silybum marianum) weed patches through unmanned aerial vehicle (UAV) images using...

  • Article
  • Open Access
3 Citations
4,580 Views
18 Pages

7 November 2018

The goal of block matching (BM) is to locate small patches of an image that are similar to a given patch or template. This can be done either in the spatial domain or, more efficiently, in a transform domain. Full search (FS) BM is an accurate, but c...

  • Article
  • Open Access
25 Citations
6,489 Views
18 Pages

Laser Scanners for High-Quality 3D and IR Imaging in Cultural Heritage Monitoring and Documentation

  • Sofia Ceccarelli,
  • Massimiliano Guarneri,
  • Mario Ferri de Collibus,
  • Massimo Francucci,
  • Massimiliano Ciaffi and
  • Alessandro Danielis

5 November 2018

Digital tools as 3D (three-dimensional) modelling and imaging techniques are having an increasing role in many applicative fields, thanks to some significative features, such as their powerful communicative capacity, versatility of the results and no...

  • Article
  • Open Access
97 Citations
11,885 Views
20 Pages

30 October 2018

In many applications of tomography, the acquired data are limited in one or more ways due to unavoidable experimental constraints. In such cases, popular direct reconstruction algorithms tend to produce inaccurate images, and more accurate iterative...

  • Technical Note
  • Open Access
36 Citations
8,776 Views
17 Pages

DIRT: The Dacus Image Recognition Toolkit

  • Romanos Kalamatianos,
  • Ioannis Karydis,
  • Dimitris Doukakis and
  • Markos Avlonitis

30 October 2018

Modern agriculture is facing unique challenges in building a sustainable future for food production, in which the reliable detection of plantation threats is of critical importance. The breadth of existing information sources, and their equivalent se...

  • Article
  • Open Access
2 Citations
7,598 Views
13 Pages

Personalized Shares in Visual Cryptography

  • Karim Hammoudi and
  • Mahmoud Melkemi

29 October 2018

This article deals with visual cryptography. It consists of hiding a message in two key images (also called shares). The decryption of the message is obtained through human vision by superposition of the shares. In existing methods, the surface of ke...

  • Article
  • Open Access
10 Citations
5,109 Views
11 Pages

29 October 2018

In the image processing pipeline of almost every digital camera, there is a part for removing the influence of illumination on the colors of the image scene. Tuning the parameter values of an illumination estimation method for maximal accuracy requir...

  • Article
  • Open Access
3 Citations
7,277 Views
17 Pages

Automated Curved and Multiplanar Reformation for Screening of the Proximal Coronary Arteries in MR Angiography

  • Bernhard Stimpel,
  • Jens Wetzl,
  • Christoph Forman,
  • Michaela Schmidt,
  • Andreas Maier and
  • Mathias Unberath

23 October 2018

Congenital anomalies of the coronary ostia can lead to sudden death. A screening solution would be useful to prevent adverse outcomes for the affected individuals. To be considered for integration into clinical routine, such a procedure must meet str...

  • Article
  • Open Access
16 Citations
6,615 Views
17 Pages

23 October 2018

(1) Background: Evidence-based policymaking requires data about the local population’s socioeconomic status (SES) at detailed geographical level, however, such information is often not available, or is too expensive to acquire. Researchers have...

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
J. Imaging - ISSN 2313-433X