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Journal of Imaging, Volume 6, Issue 11

November 2020 - 16 articles

Cover Story: Colour image daltonisation refers to the process of recolouring digital images in order to make them more readily interpretable for colour vision deficient observers. A previously developed method based on recolouring in the gradient domain followed by reintegration gave good results in both behavioural and psychometric experiments. The method was, however, computationally expensive, and tended to produce visible halo artefacts. In the current paper, we propose (i) a new simple colour domain daltonisation method to use as an initial value for reintegration, and (ii) to use linear anisotropic diffusion instead of the Poisson equation. Together, this results in an improved computational efficiency and a significant reduction in visible halo artefacts. View this paper
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Articles (16)

  • Article
  • Open Access
29 Citations
5,078 Views
14 Pages

23 November 2020

The classification of the musculoskeletal images can be very challenging, mostly when it is being done in the emergency room, where a decision must be made rapidly. The computer vision domain has gained increasing attention in recent years, due to it...

  • Article
  • Open Access
6 Citations
3,977 Views
15 Pages

A Siamese Neural Network for Non-Invasive Baggage Re-Identification

  • Pier Luigi Mazzeo,
  • Christian Libetta,
  • Paolo Spagnolo and
  • Cosimo Distante

20 November 2020

Baggage travelling on a conveyor belt in the sterile area (the rear collector located after the check-in counters) often gets stuck due to traffic jams, mainly caused by incorrect entries from the check-in counters on the collector belt. Using suitca...

  • Feature Paper
  • Article
  • Open Access
20 Citations
4,936 Views
22 Pages

Boron-Based Neutron Scintillator Screens for Neutron Imaging

  • William Chuirazzi,
  • Aaron Craft,
  • Burkhard Schillinger,
  • Steven Cool and
  • Alessandro Tengattini

19 November 2020

In digital neutron imaging, the neutron scintillator screen is a limiting factor of spatial resolution and neutron capture efficiency and must be improved to enhance the capabilities of digital neutron imaging systems. Commonly used neutron scintilla...

  • Article
  • Open Access
42 Citations
5,171 Views
14 Pages

Lung Segmentation on High-Resolution Computerized Tomography Images Using Deep Learning: A Preliminary Step for Radiomics Studies

  • Albert Comelli,
  • Claudia Coronnello,
  • Navdeep Dahiya,
  • Viviana Benfante,
  • Stefano Palmucci,
  • Antonio Basile,
  • Carlo Vancheri,
  • Giorgio Russo,
  • Anthony Yezzi and
  • Alessandro Stefano

19 November 2020

Background: The aim of this work is to identify an automatic, accurate, and fast deep learning segmentation approach, applied to the parenchyma, using a very small dataset of high-resolution computed tomography images of patients with idiopathic pulm...

  • Article
  • Open Access
29 Citations
4,127 Views
15 Pages

Enhanced Contactless Vital Sign Estimation from Real-Time Multimodal 3D Image Data

  • Chen Zhang,
  • Ingo Gebhart,
  • Peter Kühmstedt,
  • Maik Rosenberger and
  • Gunther Notni

12 November 2020

The contactless estimation of vital signs using conventional color cameras and ambient light can be affected by motion artifacts and changes in ambient light. On both these problems, a multimodal 3D imaging system with an irritation-free controlled i...

  • Review
  • Open Access
65 Citations
10,498 Views
40 Pages

Deep Learning in Selected Cancers’ Image Analysis—A Survey

  • Taye Girma Debelee,
  • Samuel Rahimeto Kebede,
  • Friedhelm Schwenker and
  • Zemene Matewos Shewarega

10 November 2020

Deep learning algorithms have become the first choice as an approach to medical image analysis, face recognition, and emotion recognition. In this survey, several deep-learning-based approaches applied to breast cancer, cervical cancer, brain tumor,...

  • Article
  • Open Access
19 Citations
5,097 Views
11 Pages

10 November 2020

(1) The objective of the present study was to identify suitable parameters to determine the (degree of) freshness of Bell pepper fruit of three colors (yellow, red, and green) over a two-week period including the occurrence of shrivel using non-destr...

  • Article
  • Open Access
11 Citations
10,581 Views
26 Pages

Multi-View Hand-Hygiene Recognition for Food Safety

  • Chengzhang Zhong,
  • Amy R. Reibman,
  • Hansel A. Mina and
  • Amanda J. Deering

7 November 2020

A majority of foodborne illnesses result from inappropriate food handling practices. One proven practice to reduce pathogens is to perform effective hand-hygiene before all stages of food handling. In this paper, we design a multi-camera system that...

  • Article
  • Open Access
5 Citations
6,290 Views
21 Pages

6 November 2020

Artworks have a layered structure subjected to alterations caused by various factors. The monitoring of defects at sub-millimeter scale may be performed by laser interferometric techniques. The aim of this work was to develop a compact system to perf...

  • Article
  • Open Access
3 Citations
3,056 Views
11 Pages

5 November 2020

The moisture content of screed samples is an essential parameter in the construction industry, since the screed must dry to a certain level of moisture content to be ready for covering. This paper introduces neutron radiography (NR) and neutron tomog...

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J. Imaging - ISSN 2313-433X