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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)

  • Tutorial
  • Open Access
29 Citations
6,057 Views
11 Pages

Lensless Three-Dimensional Quantitative Phase Imaging Using Phase Retrieval Algorithm

  • Vijayakumar Anand,
  • Tomas Katkus,
  • Denver P. Linklater,
  • Elena P. Ivanova and
  • Saulius Juodkazis

20 September 2020

Quantitative phase imaging (QPI) techniques are widely used for the label-free examining of transparent biological samples. QPI techniques can be broadly classified into interference-based and interferenceless methods. The interferometric methods whi...

  • Article
  • Open Access
26 Citations
7,390 Views
16 Pages

Understanding the Effects of Optimal Combination of Spectral Bands on Deep Learning Model Predictions: A Case Study Based on Permafrost Tundra Landform Mapping Using High Resolution Multispectral Satellite Imagery

  • Md Abul Ehsan Bhuiyan,
  • Chandi Witharana,
  • Anna K. Liljedahl,
  • Benjamin M. Jones,
  • Ronald Daanen,
  • Howard E. Epstein,
  • Kelcy Kent,
  • Claire G. Griffin and
  • Amber Agnew

17 September 2020

Deep learning (DL) convolutional neural networks (CNNs) have been rapidly adapted in very high spatial resolution (VHSR) satellite image analysis. DLCNN-based computer visions (CV) applications primarily aim for everyday object detection from standar...

  • Article
  • Open Access
1 Citations
2,746 Views
19 Pages

17 September 2020

Collisionless media devoid of intrinsic stresses, for example, a dispersed phase in a multiphase medium, have a much wider variety of space-time structures and features formed in them than collisional media, for example, a carrier, gas, or liquid pha...

  • Article
  • Open Access
16 Citations
6,230 Views
14 Pages

body2vec: 3D Point Cloud Reconstruction for Precise Anthropometry with Handheld Devices

  • Magda Alexandra Trujillo-Jiménez,
  • Pablo Navarro,
  • Bruno Pazos,
  • Leonardo Morales,
  • Virginia Ramallo,
  • Carolina Paschetta,
  • Soledad De Azevedo,
  • Anahí Ruderman,
  • Orlando Pérez and
  • Claudio Delrieux
  • + 1 author

11 September 2020

Current point cloud extraction methods based on photogrammetry generate large amounts of spurious detections that hamper useful 3D mesh reconstructions or, even worse, the possibility of adequate measurements. Moreover, noise removal methods for poin...

  • Review
  • Open Access
32 Citations
5,881 Views
16 Pages

Deep Learning-Based Crowd Scene Analysis Survey

  • Sherif Elbishlawi,
  • Mohamed H. Abdelpakey,
  • Agwad Eltantawy,
  • Mohamed S. Shehata and
  • Mostafa M. Mohamed

11 September 2020

Recently, our world witnessed major events that attracted a lot of attention towards the importance of automatic crowd scene analysis. For example, the COVID-19 breakout and public events require an automatic system to manage, count, secure, and trac...

  • Article
  • Open Access
12 Citations
3,959 Views
15 Pages

11 September 2020

With increased use of light-weight materials with low factors of safety, non-destructive testing becomes increasingly important. Thanks to the advancement of infrared camera technology, pulse thermography is a cost efficient way to detect subsurface...

  • Article
  • Open Access
6 Citations
3,318 Views
19 Pages

9 September 2020

In this work, a novel algorithmic scheme is developed that processes echocardiogram videos, and tracks the movement of the mitral valve leaflets, and thereby estimates whether the movement is symptomatic of a healthy or diseased heart. This algorithm...

  • Article
  • Open Access
4 Citations
3,289 Views
28 Pages

8 September 2020

Convolution neural networks usually require large labeled data-sets to construct accurate models. However, in many real-world scenarios, such as global illumination, labeling data are a time-consuming and costly human intelligent task. Semi-supervise...

  • Article
  • Open Access
74 Citations
7,669 Views
17 Pages

8 September 2020

The classification of histopathology images requires an experienced physician with years of experience to classify the histopathology images accurately. In this study, an algorithm was developed to assist physicians in classifying histopathology imag...

  • Article
  • Open Access
6 Citations
10,980 Views
15 Pages

The Colour of the Night Sky

  • Zoltán Kolláth,
  • Dénes Száz,
  • Kai Pong Tong and
  • Kornél Kolláth

5 September 2020

The measurement of night sky quality has become an important task in night sky conservation. Modern measurement techniques involve mainly a calibrated digital camera or a spectroradiometer. However, panchromatic devices are still prevalent to this da...

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J. Imaging - ISSN 2313-433X