ArticleJournal of imaging2020
Subpixel Localization of Isolated Edges and Streaks in Digital Images.
Article in Journal of imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Subpixel Edge Localization via Ruled-Sigmoid Surfaces and Its Application for Precision Analysis of Cycloidal Gear Profiles.Sensors (Basel, Switzerland) · 2026Article
- Machine Vision-Based Precision Detection of Circular Holes Using Canny Threshold Optimization and Zernike Moments.Sensors (Basel, Switzerland) · 2026Article
- LONEStar: The Lunar Flashlight Optical Navigation Experiment.The journal of the astronautical sciences · 2024Article
- MTF Measurement by Slanted-Edge Method Based on Improved Zernike Moments.Sensors (Basel, Switzerland) · 2023Article
- An Efficient Algorithm for Infrared Earth Sensor with a Large Field of View.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Many modern sensing systems rely on the accurate extraction of measurement data from digital images. The localization of edges and streaks in digital images is an important example of this type of measurement, with these techniques appearing in many image processing pipelines. Several approaches attempt to solve this problem at both the pixel level and subpixel level. While the subpixel methods are often necessary for applications requiring best-possible accuracy, they are often susceptible to noise, use iterative methods, or require pre-processing. This work investigates a unified framework for subpixel edge and streak localization using Zernike moments with ramp-based and wedge-based signal models. The method described here is found to outperform the current state-of-the-art for digital images with common signal-to-noise ratios. Performance is demonstrated on both synthetic and real images.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.