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Journal of Imaging, Volume 10, Issue 5

May 2024 - 28 articles

Cover Story: In laser–matter experiments, a high-intensity laser beam causes objects to explode, and releasing material fragments reaches a relative speed of several kilometers per second. These accelerated material fragments cause permanent damage to glass plate surfaces. In this paper, we present a new processing method, called MOSES-Impacts, for detecting such damage. This method outperforms the current methods by separating connected damaged areas to help modern recycling systems optimize their parameters, which are used to repair damage to glass plate surfaces. The separation of connected damage is essential for extracting relevant features such as centers of gravity and radii, which serve as parameters for the recycling process. View this paper
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Articles (28)

  • Article
  • Open Access
4 Citations
2,751 Views
15 Pages

A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields

  • Raiyan Rahman,
  • Christopher Indris,
  • Goetz Bramesfeld,
  • Tianxiao Zhang,
  • Kaidong Li,
  • Xiangyu Chen,
  • Ivan Grijalva,
  • Brian McCornack,
  • Daniel Flippo and
  • Ajay Sharda
  • + 1 author

Aphid infestations are one of the primary causes of extensive damage to wheat and sorghum fields and are one of the most common vectors for plant viruses, resulting in significant agricultural yield losses. To address this problem, farmers often empl...

  • Review
  • Open Access
15 Citations
5,991 Views
18 Pages

The compression of images for efficient storage and transmission is crucial in handling large data volumes. Lossy image compression reduces storage needs but introduces perceptible distortions affected by content, compression levels, and display envi...

  • Article
  • Open Access
19 Citations
5,157 Views
25 Pages

Day-to-Night Street View Image Generation for 24-Hour Urban Scene Auditing Using Generative AI

  • Zhiyi Liu,
  • Tingting Li,
  • Tianyi Ren,
  • Da Chen,
  • Wenjing Li and
  • Waishan Qiu

A smarter city should be a safer city. Nighttime safety in metropolitan areas has long been a global concern, particularly for large cities with diverse demographics and intricate urban forms, whose citizens are often threatened by higher street-leve...

  • Article
  • Open Access
11 Citations
5,625 Views
17 Pages

Accurately detecting defects while reconstructing a high-quality normal background in surface defect detection using unsupervised methods remains a significant challenge. This study proposes an unsupervised method that effectively addresses this chal...

  • Article
  • Open Access
2 Citations
2,515 Views
18 Pages

Generative adversarial networks (GANs) and diffusion models (DMs) have revolutionized the creation of synthetically generated but realistic-looking images. Distinguishing such generated images from real camera captures is one of the key tasks in curr...

  • Article
  • Open Access
4 Citations
6,196 Views
25 Pages

Skin Tone Estimation under Diverse Lighting Conditions

  • Success K. Mbatha,
  • Marthinus J. Booysen and
  • Rensu P. Theart

Knowledge of a person’s level of skin pigmentation, or so-called “skin tone”, has proven to be an important building block in improving the performance and fairness of various applications that rely on computer vision. These include...

  • Article
  • Open Access
23 Citations
4,777 Views
21 Pages

Optimizing Vision Transformers for Histopathology: Pretraining and Normalization in Breast Cancer Classification

  • Giulia Lucrezia Baroni,
  • Laura Rasotto,
  • Kevin Roitero,
  • Angelica Tulisso,
  • Carla Di Loreto and
  • Vincenzo Della Mea

This paper introduces a self-attention Vision Transformer model specifically developed for classifying breast cancer in histology images. We examine various training strategies and configurations, including pretraining, dimension resizing, data augme...

  • Article
  • Open Access
7 Citations
4,362 Views
17 Pages

Artificial Intelligence, Intrapartum Ultrasound and Dystocic Delivery: AIDA (Artificial Intelligence Dystocia Algorithm), a Promising Helping Decision Support System

  • Antonio Malvasi,
  • Lorenzo E. Malgieri,
  • Ettore Cicinelli,
  • Antonella Vimercati,
  • Antonio D’Amato,
  • Miriam Dellino,
  • Giuseppe Trojano,
  • Tommaso Difonzo,
  • Renata Beck and
  • Andrea Tinelli

The position of the fetal head during engagement and progression in the birth canal is the primary cause of dystocic labor and arrest of progression, often due to malposition and malrotation. The authors performed an investigation on pregnant women i...

  • Article
  • Open Access
2 Citations
3,165 Views
14 Pages

Rock Slope Stability Analysis Using Terrestrial Photogrammetry and Virtual Reality on Ignimbritic Deposits

  • Tania Peralta,
  • Melanie Menoscal,
  • Gianella Bravo,
  • Victoria Rosado,
  • Valeria Vaca,
  • Diego Capa,
  • Maurizio Mulas and
  • Luis Jordá-Bordehore

Puerto de Cajas serves as a vital high-altitude passage in Ecuador, connecting the coastal region to the city of Cuenca. The stability of this rocky massif is carefully managed through the assessment of blocks and discontinuities, ensuring safe trave...

  • Article
  • Open Access
5 Citations
2,734 Views
25 Pages

The current study aimed to quantify the value of color spaces and channels as a potential superior replacement for standard grayscale images, as well as the relative performance of open-source detectors and descriptors for general feature-based image...

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J. Imaging - ISSN 2313-433X