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Journal of Imaging, Volume 10, Issue 1

January 2024 - 28 articles

Cover Story: The composition of an image is a critical element in constructing an image that conveys a narrative and related emotions. It is widely acknowledged that composition is emphasized by the presence of leading lines. Making the image’s composition explicit through a set of leading lines is valuable when analyzing an image or assisting in photography. We conducted user studies to assess the agreement among image experts when requesting them to draw leading lines on images. According to these studies, we introduce a fully automatic computational method for recovering the leading lines that underlie the image’s composition. We evaluate our method through both subjective and objective studies, and we propose an objective metric to compare two sets of leading lines. View this paper
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Articles (28)

  • Article
  • Open Access
9 Citations
3,903 Views
15 Pages

Endoscopic Image Enhancement: Wavelet Transform and Guided Filter Decomposition-Based Fusion Approach

  • Shiva Moghtaderi,
  • Omid Yaghoobian,
  • Khan A. Wahid and
  • Kiven Erique Lukong

20 January 2024

Endoscopies are helpful for examining internal organs, including the gastrointestinal tract. The endoscope device consists of a flexible tube to which a camera and light source are attached. The diagnostic process heavily depends on the quality of th...

  • Review
  • Open Access
6 Citations
3,500 Views
23 Pages

19 January 2024

The aim of this article is to review the single photon emission computed tomography (SPECT) segmentation methods used in patient-specific dosimetry of 177Lu molecular therapy. Notably, 177Lu-labelled radiopharmaceuticals are currently used in molecul...

  • Article
  • Open Access
3 Citations
4,676 Views
19 Pages

Images, Words, and Imagination: Accessible Descriptions to Support Blind and Low Vision Art Exploration and Engagement

  • Stacy A. Doore,
  • David Istrati,
  • Chenchang Xu,
  • Yixuan Qiu,
  • Anais Sarrazin and
  • Nicholas A. Giudice

18 January 2024

The lack of accessible information conveyed by descriptions of art images presents significant barriers for people with blindness and low vision (BLV) to engage with visual artwork. Most museums are not able to easily provide accessible image descrip...

  • Article
  • Open Access
2 Citations
3,027 Views
22 Pages

Individual Contrast Preferences in Natural Images

  • Olga Cherepkova,
  • Seyed Ali Amirshahi and
  • Marius Pedersen

18 January 2024

This paper is an investigation in the field of personalized image quality assessment with the focus of studying individual contrast preferences for natural images. To achieve this objective, we conducted an in-lab experiment with 22 observers who ass...

  • Article
  • Open Access
7 Citations
2,990 Views
16 Pages

18 January 2024

Higher standards have been proposed for detection systems since camouflaged objects are not distinct enough, making it possible to ignore the difference between their background and foreground. In this paper, we present a new framework for Camouflage...

  • Article
  • Open Access
3 Citations
3,881 Views
14 Pages

Fully Self-Supervised Out-of-Domain Few-Shot Learning with Masked Autoencoders

  • Reece Walsh,
  • Islam Osman,
  • Omar Abdelaziz and
  • Mohamed S. Shehata

16 January 2024

Few-shot learning aims to identify unseen classes with limited labelled data. Recent few-shot learning techniques have shown success in generalizing to unseen classes; however, the performance of these techniques has also been shown to degrade when t...

  • Article
  • Open Access
2,317 Views
15 Pages

15 January 2024

Human body tissue disease diagnosis will become more accurate if transmittance images, such as X-ray images, are separated according to each constituent tissue. This research proposes a new image decomposition technique based on the matrix inverse me...

  • Article
  • Open Access
4,293 Views
16 Pages

ControlFace: Feature Disentangling for Controllable Face Swapping

  • Xuehai Zhang,
  • Wenbo Zhou,
  • Kunlin Liu,
  • Hao Tang,
  • Zhenyu Zhang,
  • Weiming Zhang and
  • Nenghai Yu

11 January 2024

Face swapping is an intriguing and intricate task in the field of computer vision. Currently, most mainstream face swapping methods employ face recognition models to extract identity features and inject them into the generation process. Nonetheless,...

  • Article
  • Open Access
5 Citations
3,010 Views
20 Pages

Improved Loss Function for Mass Segmentation in Mammography Images Using Density and Mass Size

  • Parvaneh Aliniya,
  • Mircea Nicolescu,
  • Monica Nicolescu and
  • George Bebis

Mass segmentation is one of the fundamental tasks used when identifying breast cancer due to the comprehensive information it provides, including the location, size, and border of the masses. Despite significant improvement in the performance of the...

  • Article
  • Open Access
4 Citations
4,109 Views
18 Pages

Classification of Cocoa Beans by Analyzing Spectral Measurements Using Machine Learning and Genetic Algorithm

  • Kacoutchy Jean Ayikpa,
  • Pierre Gouton,
  • Diarra Mamadou and
  • Abou Bakary Ballo

The quality of cocoa beans is crucial in influencing the taste, aroma, and texture of chocolate and consumer satisfaction. High-quality cocoa beans are valued on the international market, benefiting Ivorian producers. Our study uses advanced techniqu...

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J. Imaging - ISSN 2313-433X