A Fast Circle Detection Algorithm Based on Information Compression

Ou, Yun; Deng, Haixiao; Liu, Yang; Zhang, Zeyu; Ruan, Xusheng; Xu, Qiguo; Peng, Chengzuo

doi:10.3390/s22197267

Cited by 5 publications

(3 citation statements)

References 24 publications

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“…The improved CHT-based algorithm [60] has improved in terms of computational accuracy, but it still consumes a lot of memory and is slow in real-time applications. In addition, although other optimized circle detection algorithms have been proposed [61,62], they still cannot solve the constraints between computational accuracy and efficiency better. In practical applications, we note that most circle detection algorithms require high-quality circular targets; particularly, in the presence of noise the circumference of the circle often becomes less clear, which reduces the recognition quality of the algorithm.…”

Section: Template Matching Algorithmmentioning

confidence: 99%

Design and Verification of a Novel Structural Strain Measuring Method Based on Template Matching and Microscopic Vision

Zhao,

Bai,

Liang

et al. 2023

Buildings

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Strain measurements have a significant role in evaluating the condition of various structural types and have become an essential component in the area of structural health monitoring. However, there are some limitations in the current means of strain measurement, and this study aims to improve these methods. We have designed a novel strain measurement method based on template matching algorithms and microscopic vision techniques, developed a new sliding strain sensor, and paired it with a new microscope to realize strain measurement. The method has the function of remote wireless acquisition with a cell phone, which is more widely applicable. In the laboratory performance testing, the zero drift of the sensor is mainly concentrated in the fluctuation range of ±2 με, and the effective range reaches nearly 40,000 με. In the comparison experiments with the linear variable differential transformer, the maximum error of the static loading is only 5 με, and the maximum error rate of the dynamic loading is less than 1%, which proves that it has a relatively high accuracy. Finally, the short-term real-time monitoring of the local structure of the footbridge was accomplished, and the strain changes on the surface of the structure were captured instantly, stably, and efficiently in the actual measurements. The proposed strain measurement system has the advantages of high accuracy, a low cost, convenient measurement, and wide applicability, and it provides a novel alternative means for strain measurement in the field of structural health monitoring.

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Section: Template Matching Algorithmmentioning

confidence: 99%

Design and Verification of a Novel Structural Strain Measuring Method Based on Template Matching and Microscopic Vision

Zhao,

Bai,

Liang

et al. 2023

Buildings

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show abstract

“…These parameters provide a comprehensive description of the circle in three-dimensional space. Ramlee et al use circle detection to detect outliers in their research [29,30], which is similar to our aim to detect burr defects on the circular edge of contact lens.…”

mentioning

confidence: 91%

CLensRimVision: A Novel Computer Vision Algorithm for Detecting Rim Defects in Contact Lenses

Chunhachatrachai,

Lin

2023

Sensors

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Automated optical inspection (AOI) plays a pivotal role in the quality control of contact lenses, safeguarding the safety and integrity of lenses intended for both medical and cosmetic applications. As the role of computer vision in defect detection expands, our study probes its effectiveness relative to traditional methods, particularly concerning subtle and irregular defects on the lens rim. In this research study, we propose a novel algorithm designed for the precise and automated detection of rim defects in contact lenses called “CLensRimVision”. This algorithm integrates a series of procedures, including image preprocessing, circle detection for identifying lens rims, polar coordinate transformation, setting defect criteria and their subsequent detection, and, finally, visualization. The method based on these criteria can be adapted either to thickness-based or area-based approaches, suiting various characteristics of the contact lens. This approach achieves an exemplary performance with a 0.937 AP score. Our results offer a richer understanding of defect detection strategies, guiding manufacturers and researchers towards optimal techniques for ensuring quality in the contact lens domain.

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“…Angle-Aided Circle Detection was proposed to solve the problem of computational complexity and invalid accumulation by dividing the image into sub-regions for sampling edge points. Another method for reducing the amount of calculation was image compression, which was suggested as a method to reduce candidate points [23]. Last but not the least, edge segmentation, which is one of the methods for classifying different types of edges [24], was proposed.…”

Section: Introductionmentioning

confidence: 99%

Nut Geometry Inspection Using Improved Hough Line and Circle Methods

Lin

Lien

2023

Sensors

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Nuts are the cornerstone of human industrial construction, especially A-grade nuts that can only be used in power plants, precision instruments, aircraft, and rockets. However, the traditional nuts inspection method is to manually operate the measuring instrument for conducting an inspection, so the quality of the A-grade nut cannot be guaranteed. In this work, a machine vision-based inspection system was proposed, which performs a real-time geometric inspection of the nuts before and after tapping on the production line. In order to automatically screen out A-Grade nuts on the production line, there are 7 inspections within this proposed nut inspection system. The measurements of parallel, opposite side length, straightness, radius, roundness, concentricity, and eccentricity were proposed. To shorten the overall detection time regarding nut production, the program needed to be accurate and uncomplicated. By modifying the Hough line and Hough circle, the algorithm became faster and more suitable for nut detection. The optimized Hough line and Hough circle can be used for all measures in the testing process.

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A Fast Circle Detection Algorithm Based on Information Compression

Cited by 5 publications

References 24 publications

Design and Verification of a Novel Structural Strain Measuring Method Based on Template Matching and Microscopic Vision

Design and Verification of a Novel Structural Strain Measuring Method Based on Template Matching and Microscopic Vision

CLensRimVision: A Novel Computer Vision Algorithm for Detecting Rim Defects in Contact Lenses

Nut Geometry Inspection Using Improved Hough Line and Circle Methods

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