Mobile Terminal Implementation of Image Filtering and Edge Detection Based on OpenCV

Bai, Jinshu; Li, Yicen; Lin, Lan; Chen, Lixin

doi:10.1109/aeeca49918.2020.9213537

Cited by 5 publications

(3 citation statements)

References 11 publications

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“…Without significantly changing its area while eliminating small black dots, separating objects at slender points and smoothing the boundaries of larger objects. Finally, findContours function is used for coarse extraction of edges [34], and the extracted contour information is saved on the original image and output. In this paper, CHAIN _ APPROX _ SIMPLE is used to compress and save the contour information, and only the end coordinates of the direction are kept to reduce the computational consumption.…”

Section: Positioning Methods Based On Rtk‐gps and Image Fusionmentioning

confidence: 99%

A nonlinear model predictive control based control method to quadrotor landing on moving platform

Zhu

Zhang

2023

Cognitive Comp and Systems

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To address the problems that the UAV (Unmanned Aerial Vehicle) is vulnerable to distance limitation and environmental interference when tracking and landing on a moving platform autonomously, the accuracy of position estimation relying only on visual odometry in the point‐featureless environment is insufficient, and the traditional linear path planning solvers and controllers cannot meet the fast and safe requirements under the non‐linear strong coupling characteristics of the cooperative landing system, an nonlinear model predictive control (NMPC)‐based multi‐sensor fusion method for autonomous landing of UAVs on motion platforms is proposed. The UAV combines the position information obtained by the RTK‐GPS and the image information obtained by the camera and uses the special identification codes placed in the landing area of the UAV to carry out cooperative planning and navigation while using UKF (Unscented Kalman Filter) to estimate the position of the moving platform and using the interference‐resistant NMPC algorithm to optimise the UAV tracking trajectory based on the precise positioning of the two platforms to achieve the autonomous landing control of the UAV. The simulation and practical experimental results show the feasibility and effectiveness of the proposed algorithm and the autonomous landing control method and provide an effective solution for the autonomous landing of quadrotors on arbitrarily moving platforms.

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Section: Positioning Methods Based On Rtk‐gps and Image Fusionmentioning

confidence: 99%

A nonlinear model predictive control based control method to quadrotor landing on moving platform

Zhu

Zhang

2023

Cognitive Comp and Systems

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“…The program's algorithm for matching pixel colours to colour range templates for critical, medium, and minor corrosion damage to a pipeline section. The OpenCV library is used to work with image pixels [8].…”

Section: Methodsmentioning

confidence: 99%

Pipeline Damage Assessment Based on Corrosion Segmentation Using JetRacer Kit

Mysiuk

2023

PoS

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This paper describes the development of a criticality assessment of corroded metallic pipelines using the JetRacer Kit. Considering the difficulty of accessing pipelines from the inside, the developed program launched on a robotic platform allows for diagnostics. Replacing damaged sections of pipelines after scanning can increase the longevity of operation. The video stream is segmented using the method of separating colour characteristics of corrosion at different stages of its progression and tested on the system at several investigated corrosion areas inside the pipelines. The process of segmentation of corrosion into three levels, high, medium, and low, is described. Each damage level is visualized using the corresponding colours: red, orange, and yellow. In addition, the corrosion concentration for each level was grouped into selected rectangles. Damage assessment is based on the segmented number of found image pixels. The work results can be helpful for services engaged in diagnosing pipelines.

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“…Combined with the SSD algorithm model, validation was conducted on an industrial dataset, and the results show that this method can effectively detect industrial defects. Chousangsntorn C et al [35] used an image processing method based on OpenCV python [36] to detect defects in the serial number printed on the hard drive block. In order to balance the contrast of the region where the serial number is located, they first used an image processing method based on OpenCV python to eliminate variations that cause changes in image contrast.…”

Section: Image Preprocessingmentioning

confidence: 99%

Research on Object Detection and Recognition Method for UAV Aerial Images Based on Improved YOLOv5

Zhang

Shao

et al. 2023

Drones

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In this paper, an object detection and recognition method based on improved YOLOv5 is proposed for application on unmanned aerial vehicle (UAV) aerial images. Firstly, we improved the traditional Gabor function to obtain Gabor convolutional kernels with better edge enhancement properties. We used eight Gabor convolutional kernels to enhance the object edges from eight directions, and the enhanced image has obvious edge features, thus providing the best object area for subsequent deep feature extraction work. Secondly, we added a coordinate attention (CA) mechanism to the backbone of YOLOv5. The plug-and-play lightweight CA mechanism considers information of both the spatial location and channel of features and can accurately capture the long-range dependencies of positions. CA is like the eyes of YOLOv5, making it easier for the network to find the region of interest (ROI). Once again, we replaced the Path Aggregation Network (PANet) with a Bidirectional Feature Pyramid Network (BiFPN) at the neck of YOLOv5. BiFPN performs weighting operations on different input feature layers, which helps to balance the contribution of each layer. In addition, BiFPN adds horizontally connected feature branches across nodes on a bidirectional feature fusion structure to fuse more in-depth feature information. Finally, we trained the overall improved YOLOv5 model on our integrated dataset LSDUVD and compared it with other models on multiple datasets. The results show that our method has the best convergence effect and mAP value, which demonstrates that our method has unique advantages in processing detection tasks of UAV aerial images.

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Mobile Terminal Implementation of Image Filtering and Edge Detection Based on OpenCV

Cited by 5 publications

References 11 publications

A nonlinear model predictive control based control method to quadrotor landing on moving platform

A nonlinear model predictive control based control method to quadrotor landing on moving platform

Pipeline Damage Assessment Based on Corrosion Segmentation Using JetRacer Kit

Research on Object Detection and Recognition Method for UAV Aerial Images Based on Improved YOLOv5

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