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Journal of Imaging, Volume 6, Issue 9

September 2020 - 18 articles

Cover Story: In modern production processes, non-destructive testing (NDT) is becoming increasingly important. One emerging photonic NDT method is active thermography, where components are heated by an optical excitation while the temperature field is observed with an infrared camera. Thus, the temporal evolution of the 2D temperature data (thermal video) is measured and defects that alter the local heat diffusion can be identified by analyzing this time-dependent thermal sequence. We propose an algorithm that can be applied for defect segmentation and depth estimation, even for complex-shaped geometries, while keeping the computational cost low. We implement our algorithm by adapting the well-known thermographic signal reconstruction (TSR) method and compare the results to state-of-the-art thermographic methods using a composite component. View this paper
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Articles (18)

  • Article
  • Open Access
14 Citations
4,754 Views
15 Pages
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An Experimental Comparison between Deep Learning and Classical Machine Learning Approaches for Writer Identification in Medieval Documents

  • Nicole Dalia Cilia,
  • Claudio De Stefano,
  • Francesco Fontanella,
  • Claudio Marrocco,
  • Mario Molinara and
  • Alessandra Scotto di Freca
J. Imaging2020, 6(9), 89;https://doi.org/10.3390/jimaging6090089

4 September 2020

In the framework of palaeography, the availability of both effective image analysis algorithms, and high-quality digital images has favored the development of new applications for the study of ancient manuscripts and has provided new tools for decisi...

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  • Article
  • Open Access
5 Citations
7,020 Views
12 Pages
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Marching Cubes and Histogram Pyramids for 3D Medical Visualization

  • Porawat Visutsak
J. Imaging2020, 6(9), 88;https://doi.org/10.3390/jimaging6090088

3 September 2020

This paper aims to implement histogram pyramids with marching cubes method for 3D medical volumetric rendering. The histogram pyramids are used for feature extraction by segmenting the image into the hierarchical order like the pyramid shape. The his...

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  • Article
  • Open Access
8 Citations
4,683 Views
23 Pages
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Spatial Spectral Band Selection for Enhanced Hyperspectral Remote Sensing Classification Applications

  • Ruben Moya Torres,
  • Peter W.T. Yuen,
  • Changfeng Yuan,
  • Johathan Piper,
  • Chris McCullough and
  • Peter Godfree
J. Imaging2020, 6(9), 87;https://doi.org/10.3390/jimaging6090087

31 August 2020

Despite the numerous band selection (BS) algorithms reported in the field, most if not all have exhibited maximal accuracy when more spectral bands are utilized for classification. This apparently disagrees with the theoretical model of the ‘cu...

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  • Article
  • Open Access
3 Citations
5,759 Views
21 Pages
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Realistic Dynamic Numerical Phantom for MRI of the Upper Vocal Tract

  • Joe Martin,
  • Matthieu Ruthven,
  • Redha Boubertakh and
  • Marc E. Miquel
J. Imaging2020, 6(9), 86;https://doi.org/10.3390/jimaging6090086

27 August 2020

Dynamic and real-time MRI (rtMRI) of human speech is an active field of research, with interest from both the linguistics and clinical communities. At present, different research groups are investigating a range of rtMRI acquisition and reconstructio...

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  • Article
  • Open Access
7 Citations
3,716 Views
17 Pages
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Efficient Deconvolution Architecture for Heterogeneous Systems-on-Chip

  • Stefania Perri,
  • Cristian Sestito,
  • Fanny Spagnolo and
  • Pasquale Corsonello
J. Imaging2020, 6(9), 85;https://doi.org/10.3390/jimaging6090085

25 August 2020

Today, convolutional and deconvolutional neural network models are exceptionally popular thanks to the impressive accuracies they have been proven in several computer-vision applications. To speed up the overall tasks of these neural networks, purpos...

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  • Article
  • Open Access
13 Citations
6,188 Views
15 Pages
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Investigating the Performance of Generative Adversarial Networks for Prostate Tissue Detection and Segmentation

  • Ufuk Cem Birbiri,
  • Azam Hamidinekoo,
  • Amélie Grall,
  • Paul Malcolm and
  • Reyer Zwiggelaar
J. Imaging2020, 6(9), 83;https://doi.org/10.3390/jimaging6090083

24 August 2020

The manual delineation of region of interest (RoI) in 3D magnetic resonance imaging (MRI) of the prostate is time-consuming and subjective. Correct identification of prostate tissue is helpful to define a precise RoI to be used in CAD systems in clin...

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  • Article
  • Open Access
2 Citations
3,483 Views
23 Pages
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An Efficient and Lightweight Illumination Model for Planetary Bodies Including Direct and Diffuse Radiation

  • Marco Scharringhausen and
  • Lars Witte
J. Imaging2020, 6(9), 84;https://doi.org/10.3390/jimaging6090084

24 August 2020

We present a numerical illumination model to calculate direct as well as diffuse or Hapke scattered radiation scenarios on arbitrary planetary surfaces. This includes small body surfaces such as main belt asteroids as well as e.g., the lunar surface....

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  • Article
  • Open Access
24 Citations
6,012 Views
13 Pages
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Detection of HER2 from Haematoxylin-Eosin Slides Through a Cascade of Deep Learning Classifiers via Multi-Instance Learning

  • David La Barbera,
  • António Polónia,
  • Kevin Roitero,
  • Eduardo Conde-Sousa and
  • Vincenzo Della Mea
J. Imaging2020, 6(9), 82;https://doi.org/10.3390/jimaging6090082

23 August 2020

Breast cancer is the most frequently diagnosed cancer in woman. The correct identification of the HER2 receptor is a matter of major importance when dealing with breast cancer: an over-expression of HER2 is associated with aggressive clinical behavio...

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