Extraction Method of Line-Structured Light Stripe Center Based on Gauss-Lorenz Decomposition Peak Fitting

Taotao, 李涛涛 Li; Feng, 杨峰 Yang; Shigeng, 李石庚 Li; Yu, 何宇 He

doi:10.3788/lop56.071201

Cited by 4 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The tracing method [30], [31] obtained the approximate center-line trend of the current position by judging the local direction of coronary arteries, and obtained the center point of the cross section of coronary arteries at the current position by combining the local information of the vessels in the image. Then, according to the obtained center point, the direction of the center line was corrected, and the above calculation process of local center point was repeated until the end of the coronary artery was traced.…”

Section: ) Traceability Based Methodsmentioning

confidence: 99%

Extraction Method of Coronary Artery Blood Vessel Centerline in CT Coronary Angiography

et al. 2019

View full text Add to dashboard Cite

Aiming at the problem that the traditional coronary artery centerline extraction method is computationally intensive and requires a large number of manual interventions, a fully automatic coronary artery centerline tracking extraction method is proposed. First, adaptive adaptation of coronary vessels was performed based on different Fresenius norms designed for coronary scale. A multi-scale differential operator is constructed based on the vascular gray-scale distribution to establish a discriminant function, thereby obtaining the initial position and tracking direction of the seed point. Then, the new ridge point and tracking direction are optimally detected within the local arc length of the initial direction to ensure that the correct ridge position can still be obtained with large error interference. Finally, the pseudo vascular centerline is removed using the vascular topology feature detection method. The experimental results show that the method can accurately extract the blood vessel center line, direction vector and other information in the coronary angiography image without manual intervention, and can be used in the computer-assisted diagnosis and treatment process of clinical cardiovascular disease. INDEX TERMS Extraction method, coronary artery blood, vessel Centerline, CT coronary angiography.

show abstract

Section: ) Traceability Based Methodsmentioning

confidence: 99%

Extraction Method of Coronary Artery Blood Vessel Centerline in CT Coronary Angiography

et al. 2019

View full text Add to dashboard Cite

show abstract

“…The coordinates of each point are connected according to the correct lationship to characterize the contour information of the measured object section. Considering the accuracy, robustness, and versatility of the extracti commonly used methods for extracting the centerline of laser stripes main gray centroid method, the Steger method, the Hessian matrix method, etc., micrometer-level sub-pixel extraction accuracy [10,11]. At present, the lat this field has made certain adjustments to the classic algorithms mentioned ticular applications, which has not yet been a significant breakthrough in p Subsequently, the whole system needs to be calibrated to map the ext mensional pixel coordinates into three-dimensional space in the correct current laser triangulation measurement system mainly adopts the Scheim system, considering the high requirements for imaging clarity in the depth measurement.…”

Section: Principle Of Laser Triangulation Measurementmentioning

confidence: 99%

“…The coordinates of each point are connected according to the correct topological relationship to characterize the contour information of the measured object in the current section. Considering the accuracy, robustness, and versatility of the extraction process, the commonly used methods for extracting the centerline of laser stripes mainly include the gray centroid method, the Steger method, the Hessian matrix method, etc., which achieve micrometer-level sub-pixel extraction accuracy [10,11]. At present, the latest research in this field has made certain adjustments to the classic algorithms mentioned above for particular applications, which has not yet been a significant breakthrough in principle.…”

Section: Principle Of Laser Triangulation Measurementmentioning

confidence: 99%

High-Precision 3D Reconstruction for Small-to-Medium-Sized Objects Utilizing Line-Structured Light Scanning: A Review

2021

View full text Add to dashboard Cite

Three-dimensional reconstruction technology has demonstrated broad application potential in the industrial, construction, medical, forestry, agricultural, and pastural sectors in the last few years. High-quality digital point cloud information exists to help researchers to understand objects and environments. However, current research mainly focuses on making adaptive adjustments to various scenarios and related issues in the application of this technology rather than looking for further improvements and enhancements based on technical principles. Meanwhile, a review of approaches, algorithms, and techniques for high-precision 3D reconstruction utilizing line-structured light scanning, which is analyzed from a deeper perspective of elementary details, is lacking. This paper takes the technological path as the logical sequence to provide a detailed summary of the latest development status of each key technology, which will serve potential users and new researchers in this field. The focus is placed on exploring studies reconstructing small-to-medium-sized objects, as opposed to performing large-scale reconstructions in the field.

show abstract

Fast and accurate centerline extraction algorithm for a laser stripe applied for shoe outsole inspection

Sheng

2023

Appl. Opt.

View full text Add to dashboard Cite

Line laser 3D reconstruction technology is widely used in industrial applications. As a key step of this technology, line laser midline extraction directly affects the accuracy of the 3D reconstructed model. In reconstructing the shoe outsole, the traditional algorithm based on the threshold method to determine the laser position may result in a large amount of information loss and miscellaneous point misjudgment owing to the irregularity of the shoe outsole surface, which critically affects the laser imaging quality. To address this problem, an algorithm based on the QQ plot inspection of the laser has been proposed. The QQ plot is a scatter plot, the abscissa is usually the quantile of the standard normal distribution, and the ordinate is the quantile of the data to be tested. If the points on the scatter plot tend to be straight lines, the data to be tested is in a normal distribution. Based on this property, the proposed algorithm aims to check whether the pixels of the image column tend to be normally distributed, rather than using traditional thresholding methods to locate the laser. The objective is to examine whether the image column pixel distribution is normal, instead of using the traditional threshold method to locate the laser. However, the calculation speed of this method is extremely low. To enhance the efficiency of testing the normality of the QQ plot, a quantile-repetition (Q-R) test method is proposed. In this approach, the degree of repetition of quantiles and the position of Q-R values are used to replace the QQ plot based evaluation of the points being on a straight line, and the exact center position is determined by the GGM. The experimental results show that the proposed algorithm can extract more effective points and fewer invalid points of the laser compared to those obtained using the traditional approach, in a rapid, stable, and accurate manner.

show abstract

Extraction Method of Line-Structured Light Stripe Center Based on Gauss-Lorenz Decomposition Peak Fitting

Cited by 4 publications

References 0 publications

Extraction Method of Coronary Artery Blood Vessel Centerline in CT Coronary Angiography

Extraction Method of Coronary Artery Blood Vessel Centerline in CT Coronary Angiography

High-Precision 3D Reconstruction for Small-to-Medium-Sized Objects Utilizing Line-Structured Light Scanning: A Review

Fast and accurate centerline extraction algorithm for a laser stripe applied for shoe outsole inspection

Contact Info

Product

Resources

About