Fast and accurate circle tracking using active contour models

Cuenca, Carmelo; González, Esther G.; Trujillo, Agustín; Esclarín, Julio; Mazorra, Luis; Álvarez, Luis; Martínez-Mera, Juan Antonio; Tahoces, Pablo G.; Carreira, José M.

doi:10.1007/s11554-015-0531-5

Cited by 9 publications

(3 citation statements)

References 31 publications

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“…The moving edge function can provide target information about the moving position and moving shape of the object. The active contour algorithm is a common algorithm based on tracking edge information [ 22 ]. The contour model is an efficient segmentation and monitoring tool that requires parameters to render contours.…”

Section: Recommendation Algorithmmentioning

confidence: 99%

The Influence of Sports Dance on the Physical and Mental Development of Contemporary College Students Based on Health Detection

Huang

2022

Emergency Medicine International

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The healthy growth of college students is related to the future development of the country and the prosperity of the nation. Under fierce social competition, college students are faced with academic pressure and employment pressure, resulting in the failure to improve their physical and mental health and their low self-acceptance level. Faced with such a situation, it is an important subject to solve the problem of the physical and mental health development of contemporary college students. As a sport that integrates sports and art, sports dance is worthy of in-depth discussion on the physical and mental development of college students. To analyze the impact of sports dance on the physical and mental development of contemporary college students, this paper uses an intelligent health monitoring system to monitor the health status of college students before and after physical dance exercise. It analyzes the influence of sports dance on the physical and mental development of college students from the aspects of cardiorespiratory endurance, muscular endurance, flexibility, and happiness. Finally, the results are obtained by conducting experiments with 10 college students. The experimental results show that the psychological well-being of college students who take physical dance exercise increases by 7.8%. Cardiorespiratory endurance and flexibility are both improved accordingly. Physical dance exercise promotes the physical and mental development of contemporary college students.

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Section: Recommendation Algorithmmentioning

confidence: 99%

The Influence of Sports Dance on the Physical and Mental Development of Contemporary College Students Based on Health Detection

Huang

2022

Emergency Medicine International

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“…where Md{.} represents the median estimator, V z is the voting score provided by the Hough Transform, σ z is the standard deviation of the image intensity values inside the circle, D z is the distance between circle centers for consecutive slices (c z x , c z y ) T and (c z+1 x , c z+1 y ) T , and E z is the following circle energy introduced in [17]:…”

Section: Location Of the First Contourmentioning

confidence: 99%

Automatic estimation of the aortic lumen geometry by ellipse tracking

et al. 2018

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Purpose The shape and size of the aortic lumen can be associated with several aortic diseases. Automated computer segmentation can provide a mechanism for extracting the main features of the aorta that may be used as a diagnostic aid for physicians. This article presents a new fully automated algorithm to extract the aorta geometry for either normal (with and without contrast) or abnormal computed tomography (CT) cases. Methods The algorithm we propose is a fast incremental technique that computes the 3D geometry of the aortic lumen from an initial contour located inside it. Our approach is based on the optimization of the 3D orientation of the cross sections of the aorta. The method uses a robust ellipse estimation algorithm and an energy-based optimization technique to automatically track the centerline and the cross sections. The optimization involves the size and eccentricity of the ellipse which best fits the aorta contour on each cross-sectional plane. The method works directly on the original CT and does not require a prior segmentation of the aortic lumen. We present experimental results to show the accuracy of the method and its ability to cope with challenging CT cases where the aortic lumen may have low contrast, different kinds of pathologies, artifacts, and even significant angulations due to severe elongations. Results The algorithm correctly tracked the aorta geometry in 380 of 385 CT cases. The mean of the dice similarity coefficient was 0.951 for aorta cross sections that were randomly selected from the whole database. The mean distance to a manually delineated segmentation of the aortic lumen was 0.9 mm for sixteen selected cases. Conclusions The results achieved after the evaluation demonstrate that the proposed algorithm is robust and accurate for the automatic extraction of the aorta geometry for both normal (with and without contrast) and abnormal CT volumes.

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“…Their result has a greater improvement with previous algorithms. Cuenca et al construct new computational mode of constraining force that adopt GPU-CUDA to compute convolution between image and Gaussian smoothing filter [26]. Their method is now adopted into computerized tomographic scanning (CT).…”

Section: 1 Active Contour Modelmentioning

confidence: 99%

A review of visual moving target tracking

Zheng

Liu

2016

Multimed Tools Appl

106

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Recently, computer vision and multimedia understanding become important research domains in computer science. Meanwhile, visual tracking of moving target, one of most important application in computer vision, becomes a highlight today. So, this paper reviews research and technology in this domain. First, background and application of visual tracking is introduced. Then, visual tracking methods are classified by different thinking and technologies. Their positiveness, negativeness and improvement are analyzed deeply. Finally, difficulty in this domain is summarized and future prospect of related fields is presented.

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Fast and accurate circle tracking using active contour models

Cited by 9 publications

References 31 publications

The Influence of Sports Dance on the Physical and Mental Development of Contemporary College Students Based on Health Detection

The Influence of Sports Dance on the Physical and Mental Development of Contemporary College Students Based on Health Detection

Automatic estimation of the aortic lumen geometry by ellipse tracking

A review of visual moving target tracking

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