An improved local binary pattern based edge detection algorithm for noisy images

Navdeep,; Goyal, Sonal; Rani, Asha; Singh, Vijander

doi:10.3233/jifs-169916

Cited by 18 publications

(2 citation statements)

References 33 publications

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“…e standardized system of evaluation of sports events constitutes the stable structure and basic content of the evaluation subject. In general, the use of a standardized approach does not affect the creative work of evaluators, but is a necessary condition for their creative work to be easily recognized [8].…”

Section: Principle Of Standardizationmentioning

confidence: 99%

Research on Evaluation Method of Sports Events Based on Edge Algorithm

Deng

Gudamu

2021

Security and Communication Networks

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In view of the high computational cost and long computational time of IoT edge algorithm in traditional sports event evaluation, this paper optimizes IoT edge algorithm by introducing deep reinforcement learning technology. Set the IoT edge algorithm cycle through the IoT topology to obtain the data upload speed. In order to improve the evaluation efficiency of sports events, the process of edge algorithm is designed. The contribution rate of evaluation index is calculated, and the consistency, minimum deviation, and minimum difference of the results are taken as the standard to design the evaluation method of sports events. In order to verify the performance of the optimized edge algorithm, the test data set and test platform are set up and the comparative experiment is designed. Compared with the traditional methods, the edge algorithm based on DSLL has lower computational cost, shorter computational time, higher evaluation accuracy, and more practical results.

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Section: Principle Of Standardizationmentioning

confidence: 99%

Research on Evaluation Method of Sports Events Based on Edge Algorithm

Deng

Gudamu

2021

Security and Communication Networks

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“…The control methods of MR-UAV are all based on aircraft dynamics model, and Four-Rotor unmanned aerial vehicle (FR-UAV) is a common type of MR-UAV [12][13][14].…”

Section: Uav Flight Controlmentioning

confidence: 99%

Modeling of Autonomous Grasping Method for UAV Guided by Vision

Zhang

Yue

2022

Advances in Transdisciplinary Engineering

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For the current problems of separation of flight control and gripping control of the gripping UAV and redundancy of UAV degrees of freedom and robotic arm degrees of freedom. In this paper, the characteristics of multi-rotor UAV with high mobility and multiple degrees of freedom are used to replace the traditional mechanical gripper structure. At the same time, binocular vision technology is used for target information acquisition, the target position is converted into UAV flight attitude control commands, and conduct mathematical modeling and analysis of a multi-rotor grasping UAV.

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A modified Local Binary Pattern based on homogeneity criterion for robust edge detection

Aboutabit

2022

SIViP

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An improved local binary pattern based edge detection algorithm for noisy images

Cited by 18 publications

References 33 publications

Research on Evaluation Method of Sports Events Based on Edge Algorithm

Research on Evaluation Method of Sports Events Based on Edge Algorithm

Modeling of Autonomous Grasping Method for UAV Guided by Vision

A modified Local Binary Pattern based on homogeneity criterion for robust edge detection

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