Fractional canny edge detection for biomedical applications

Elaraby, Wessam S.; Median, Ahmed H.; Ashour, M.; Farag, Ibrahim; Nassef, Mohammad

doi:10.1109/icm.2016.7847866

Cited by 9 publications

(6 citation statements)

References 7 publications

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“…Definition 2.1 need not be restricted to real values of α, and is valid for orders of differintegration α ∈ C. However, we restrict our attention at present to real orders. Furthermore, in general practice, α is most often restricted to the interval (−1, 2), as in [5,6,7].…”

Section: The Gl Algorithmmentioning

confidence: 99%

differint: A Python Package for Numerical Fractional Calculus

Adams¹

2019

Preprint

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Fractional calculus has become widely studied and applied to physical problems in recent years [2,3]. As a result, many methods for the numerical computation of fractional derivatives and integrals have been defined. However, these algorithms are often programmed in an ad hoc manner, requiring researchers to implement and debug their own code.This work introduces the differint software package, which offers a single repository for multiple numerical algorithms for the computation of fractional derivatives and integrals. This package is coded in the open-source Python programming language [1]. The Grünwald-Letnikov, improved Grünwald-Letnikov, and Riemann-Liouville algorithms from the fractional calculus are included in this package. The algorithms presented are computed from their descriptions found in [2]. This work concludes with suggestions for the application of the differint software package.

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Section: The Gl Algorithmmentioning

confidence: 99%

differint: A Python Package for Numerical Fractional Calculus

Adams¹

2019

Preprint

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“…The operator is with the optimization idea, which has a large signal-to-noise ratio and a higher detection precision. It is currently considered as the most ideal edge detection method, and widely used (ElAraby, Madian, Mahmoud, Farag, & Nassef, 2016;Nikolic, Tuba, & Tuba, 2016). The process of Canny edge detection is as follows.…”

Section: Feature Extractionmentioning

confidence: 99%

Visual Tracking and Positioning for an Astronaut Assistant Robot

Dai

Liu

2018

2018 IEEE International Conference on Intelligence and Safety for Robotics (ISR)

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Manned space program in China has entered the space station stage. Space astronauts have very limited time. In order to free space astronauts from some routine repetitive tasks, various free-flyingr robots in space appear. The measurement of their position and attitude is the premise of their autonomous flight and remote operation. Thus, the position and attitude measurements system of Astronaut Assistant Robot (AAR) is designed. Because of the limitation of the cabin space, with the movement of the robot, sometimes only the local image of targets can be captured by camera. So how to carry out the local image tracking and pose calculation is a difficult point. The paper proposes an integration method of target feature template and local search to track moving target in real time, so that the position and attitude of the camera is calculated by using PnP algorithm, which has solved the problem stated above. The position and attitude measurements system is modeled and simulated. Furthermore, a series of measures are taken to improve the real-time performance, and the accuracy is verified. The simulation results show that the measurement system meets the requirements of real time and precision.

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“…The operator is with the optimization idea, which has a large signal-to-noise ratio and a higher detection precision. It is currently considered as the most ideal edge detection method, and widely used [13][14] . The process of Canny edge detection is as follows.…”

Section: Feature Extractionmentioning

confidence: 99%

Real-Time HALCON-Based Pose Measurement System for an Astronaut Assistant Robot

Dai

Liu

et al. 2018

Intelligent Robotics and Applications

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The manned space program in China has entered the space station stage. Space astronauts normally have very limited time for certain tasks, so in order to free space astronauts from some repetitive routine tasks, various robots in space appear. Free-flying robots in space can also provide conditions for various scientific experiments with their unique microgravity advantages. The measurement of their positions and attitudes is the premise of their autonomous flight and remote operations. So, the pose measurements system of the Astronaut Assistant Robot is designed in this paper. With the camera calibrated, the image is acquired and processed in real time, and the robot is tracked in real time. In the end poses are estimated by virtue of PnP algorithm. The pose measurements system is modeled and simulated, with an automatic global threshold method to improve the reliability of the system. In addition, a series of measures are adopted to improve its efficiency with a satisfactory accuracy. The experimental results show that the measurement system meets the requirements of both effectiveness and efficiency.

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Fractional canny edge detection for biomedical applications

Cited by 9 publications

References 7 publications

differint: A Python Package for Numerical Fractional Calculus

differint: A Python Package for Numerical Fractional Calculus

Visual Tracking and Positioning for an Astronaut Assistant Robot

Real-Time HALCON-Based Pose Measurement System for an Astronaut Assistant Robot

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