A Survey on Hough Transform, Theory, Techniques and Applications
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Abstract (arXiv)
For more than half a century, the Hough transform is ever-expanding for new frontiers. Thousands of research papers and numerous applications have evolved over the decades. Carrying out an all-inclusive survey is hardly possible and enormously space-demanding. What we care about here is emphasizing some of the most crucial milestones of the transform. We describe its variations elaborating on the basic ones such as the line and circle Hough transforms. The high demand for storage and computation time is clarified with different solution approaches. Since most uses of the transform take place on binary images, we have been concerned with the work done directly on gray or color images. The myriad applications of the standard transform and its variations have been classified highlighting the up-to-date and the unconventional ones. Due to its merits such as noise-immunity and expandability, the transform has an excellent history, and a bright future as well.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Feb 2015.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 1; 2024: 3; 2025: 3.
10 papers.
- 2022A Neuromorphic Vision-Based Measurement for Robust Relative Localization in Future Space Exploration Missionscited by 9
- 2021A Multi-Stage model based on YOLOv3 for defect detection in PV panels based on IR and Visible Imaging by Unmanned Aerial Vehiclecited by 3
- 2024Deep-TEMPEST: Using Deep Learning to Eavesdrop on HDMI from its Unintended Electromagnetic Emanationscited by 1
- 2025Persistence-based Hough Transform for Line Detectioncited by 1
- 2025Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scalecited by 1
- 2021Stateless actor-critic for instance segmentation with high-level priorscited by 0
- 2023Real-Time Wheel Detection and Rim Classification in Automotive Productioncited by 0
- 2024EpidermaQuant: Unsupervised detection and quantification of epidermal differentiation markers on H-DAB-stained images of reconstructed human epidermiscited by 0
- 2024Training a Distributed Acoustic Sensing Traffic Monitoring Network With Video Inputscited by 0
- 2025HieroGlyphTranslator: Automatic Recognition and Translation of Egyptian Hieroglyphs to Englishcited by 0
- 2025HieroGlyphTranslator: Automatic Recognition and Translation of Egyptian Hieroglyphs to English3 Dec 2025
- 2025Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale9 Jul 2025
- 2025Persistence-based Hough Transform for Line Detection18 Apr 2025
- 2024Training a Distributed Acoustic Sensing Traffic Monitoring Network With Video Inputs17 Dec 2024
- 2024Deep-TEMPEST: Using Deep Learning to Eavesdrop on HDMI from its Unintended Electromagnetic Emanations12 Jul 2024
- 2024EpidermaQuant: Unsupervised detection and quantification of epidermal differentiation markers on H-DAB-stained images of reconstructed human epidermis5 Jun 2024
- 2023Real-Time Wheel Detection and Rim Classification in Automotive Production13 Apr 2023
- 2022A Neuromorphic Vision-Based Measurement for Robust Relative Localization in Future Space Exploration Missions23 Jun 2022
- 2021A Multi-Stage model based on YOLOv3 for defect detection in PV panels based on IR and Visible Imaging by Unmanned Aerial Vehicle23 Nov 2021
- 2021Stateless actor-critic for instance segmentation with high-level priors6 Jul 2021