基于非线性力学的多运动图像轮廓特征提取方法研究

IF 2.4 Q2 ENGINEERING, MECHANICAL Nonlinear Engineering - Modeling and Application Pub Date : 2022-01-01 DOI:10.1515/nleng-2022-0037
Jucui Wang, Mingzhi Li, Anton Dziatkovskii, Uladzimir Hryneuski, Aleksandra Krylova
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引用次数: 1

摘要

摘要本文解决了传统运动图像轮廓特征提取方法中提取时间长、提取精度低的问题。本文作者探索了可变形活动轮廓模型,研究了图像处理技术在科研和多种运动中的应用及其方法。提出了一种基于动态规划方法的b样条活动轮廓模型。本文提出了一种将其应用于人脸图像处理,提取CT图像数据建立三维模型的方法。利用非线性动力学算法的李雅普诺夫指数、相关维数和近似熵提取8类运动想象脑电图信号的特征。结果表明,在轮廓提取质量较理想的情况下,姿态重建成功率可达97%以上。该方法对图像噪声具有较强的鲁棒性,当视频图像噪声较大时,姿态重建成功率可达94%。执行效率是次线性的,基本能满足基于视频的人体姿态重建实时处理的要求。该方法在曲率特征计算中错误率低,有效缩短了提取运动图像轮廓特征的时间,提高了特征信息提取的准确性。
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Research on contour feature extraction method of multiple sports images based on nonlinear mechanics
Abstract This article solves the issue of long extraction time and low extraction accuracy in traditional moving image contour feature extraction methods. Here authors have explored deformable active contour model to research the image processing technology in scientific research and the application of multiple sports and the method. A B-spline active contour model based on dynamic programming method is proposed in this article. This article proposes a method of using it to face image processing and extracting computed tomography (CT) image data to establish a three-dimensional model. The Lyapunov exponent, correlation dimension and approximate entropy of the nonlinear dynamics algorithm were used to extract the features of eight types of motor imagination electroencephalogram (EEG) signals. The results show that the success rate of pose reconstruction is more than 97% when the contour extraction quality is relatively ideal. The method is also robust to image noise, and the success rate of pose reconstruction can reach 94% when the video image has large noise. The execution efficiency is sub-linear, which can basically meet the requirements of real-time processing in video-based human posture reconstruction. The proposed method has a low error rate in the calculation of curvature features, effectively reduces the time for extracting contour features of moving images, and improves the accuracy of feature information extraction.
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来源期刊
CiteScore
6.20
自引率
3.60%
发文量
49
审稿时长
44 weeks
期刊介绍: The Journal of Nonlinear Engineering aims to be a platform for sharing original research results in theoretical, experimental, practical, and applied nonlinear phenomena within engineering. It serves as a forum to exchange ideas and applications of nonlinear problems across various engineering disciplines. Articles are considered for publication if they explore nonlinearities in engineering systems, offering realistic mathematical modeling, utilizing nonlinearity for new designs, stabilizing systems, understanding system behavior through nonlinearity, optimizing systems based on nonlinear interactions, and developing algorithms to harness and leverage nonlinear elements.
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