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Journal of Imaging, Volume 11, Issue 1

January 2025 - 28 articles

Cover Story: The relationship between light spectra and color discrimination capabilities can be examined through carefully designed psychophysical experiments. This work specifically examines LED lighting, proposing a novel experimental methodology based on color pair comparisons. To overcome the limits of existing color systems and enable the creation of tailored color sample sets, a calibration process is presented to produce desired color patches using a commercial inkjet printer. While LEDs offer the advantage of generating a wide range of light spectra, their performance is affected by heat-induced instabilities. To address such an issue, an active feedback algorithm is proposed to dynamically regulate the light output in real time, ensuring stability and minimizing potential biases in experimental results. View this paper
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Articles (28)

  • Article
  • Open Access
1,999 Views
14 Pages

Spectral Bidirectional Reflectance Distribution Function Simplification

  • Shubham Chitnis,
  • Aditya Sole and
  • Sharat Chandran

11 January 2025

Non-diffuse materials (e.g., metallic inks, varnishes, and paints) are widely used in real-world applications. Accurate spectral rendering relies on the bidirectional reflectance distribution function (BRDF). Current methods of capturing the BRDFs ha...

  • Article
  • Open Access
3,073 Views
23 Pages

Supervised and Self-Supervised Learning for Assembly Line Action Recognition

  • Christopher Indris,
  • Fady Ibrahim,
  • Hatem Ibrahem,
  • Götz Bramesfeld,
  • Jie Huo,
  • Hafiz Mughees Ahmad,
  • Syed Khizer Hayat and
  • Guanghui Wang

10 January 2025

The safety and efficiency of assembly lines are critical to manufacturing, but human supervisors cannot oversee all activities simultaneously. This study addresses this challenge by performing a comparative study to construct an initial real-time, se...

  • Communication
  • Open Access
1 Citations
2,473 Views
8 Pages

Unmasking the Area Postrema on MRI: Utility of 3D FLAIR, 3D-T2, and 3D-DIR Sequences in a Case–Control Study

  • Javier Lara-García,
  • Jessica Romo-Martínez,
  • Jonathan Javier De-La-Cruz-Cisneros,
  • Marco Antonio Olvera-Olvera and
  • Luis Jesús Márquez-Bejarano

10 January 2025

The area postrema (AP) is a key circumventricular organ involved in the regulation of autonomic functions. Accurate identification of the AP via MRI is essential in neuroimaging but it is challenging. This study evaluated 3D FSE Cube T2WI, 3D FSE Cub...

  • Article
  • Open Access
8 Citations
4,461 Views
28 Pages

Skin Lesion Classification Through Test Time Augmentation and Explainable Artificial Intelligence

  • Loris Cino,
  • Cosimo Distante,
  • Alessandro Martella and
  • Pier Luigi Mazzeo

Despite significant advancements in the automatic classification of skin lesions using artificial intelligence (AI) algorithms, skepticism among physicians persists. This reluctance is primarily due to the lack of transparency and explainability inhe...

  • Article
  • Open Access
1 Citations
1,443 Views
24 Pages

Face Boundary Formulation for Harmonic Models: Face Image Resembling

  • Hung-Tsai Huang,
  • Zi-Cai Li,
  • Yimin Wei and
  • Ching Yee Suen

This paper is devoted to numerical algorithms based on harmonic transformations with two goals: (1) face boundary formulation by blending techniques based on the known characteristic nodes and (2) some challenging examples of face resembling. The for...

  • Article
  • Open Access
4 Citations
3,463 Views
13 Pages

Combined Input Deep Learning Pipeline for Embryo Selection for In Vitro Fertilization Using Light Microscopic Images and Additional Features

  • Krittapat Onthuam,
  • Norrawee Charnpinyo,
  • Kornrapee Suthicharoenpanich,
  • Supphaset Engphaiboon,
  • Punnarai Siricharoen,
  • Ronnapee Chaichaowarat and
  • Chanakarn Suebthawinkul

The current process of embryo selection in in vitro fertilization is based on morphological criteria; embryos are manually evaluated by embryologists under subjective assessment. In this study, a deep learning-based pipeline was developed to classify...

  • Systematic Review
  • Open Access
3 Citations
12,205 Views
66 Pages

Hybrid Quality-Based Recommender Systems: A Systematic Literature Review

  • Bihi Sabiri,
  • Amal Khtira,
  • Bouchra El Asri and
  • Maryem Rhanoui

As technology develops, consumer behavior and how people search for what they want are constantly evolving. Online shopping has fundamentally changed the e-commerce industry. Although there are more products available than ever before, only a small p...

  • Article
  • Open Access
2 Citations
4,969 Views
20 Pages

This study introduces a novel AI-driven approach to support elderly patients in Thailand with medication management, focusing on accurate drug label interpretation. Two model architectures were explored: a Two-Stage Optical Character Recognition (OCR...

  • Article
  • Open Access
3 Citations
3,733 Views
13 Pages

A New Deep Learning-Based Method for Automated Identification of Thoracic Lymph Node Stations in Endobronchial Ultrasound (EBUS): A Proof-of-Concept Study

  • Øyvind Ervik,
  • Mia Rødde,
  • Erlend Fagertun Hofstad,
  • Ingrid Tveten,
  • Thomas Langø,
  • Håkon O. Leira,
  • Tore Amundsen and
  • Hanne Sorger

Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) is a cornerstone in minimally invasive thoracic lymph node sampling. In lung cancer staging, precise assessment of lymph node position is crucial for clinical decision-makin...

  • Article
  • Open Access
5 Citations
5,578 Views
38 Pages

The integration of artificial intelligence into daily life significantly enhances the autonomy and quality of life of visually impaired individuals. This paper introduces the Visual Impairment Spatial Awareness (VISA) system, designed to holistically...

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J. Imaging - ISSN 2313-433X