Intensity image quality assessment based on multiscale gradient magnitude similarity deviation

Li, Xiaofeng; Yang, Xiaogang; Chen, Shiwei; Qi, Naixin; Huang, Yueping

doi:10.1117/1.oe.59.10.103107

Cited by 2 publications

(2 citation statements)

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“…It can be seen from the above formula that the global smooth convergence can transform the optical flow field operation problem into an optimization problem. Replace the optical flow deviation and rate field gradient deviation [10] in equation ( 6) and record the two deviations as…”

Section: Construction Of Parabolic Trajectorymentioning

confidence: 99%

Parabolic Detection Algorithm of Tennis Serve Based on Video Image Analysis Technology

Tang¹

2021

Security and Communication Networks

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At present, the existing algorithm for detecting the parabola of tennis serves neglects the pre-estimation of the global motion information of tennis balls, which leads to great error and low recognition rate. Therefore, a new algorithm for detecting the parabola of tennis service based on video image analysis is proposed. The global motion information is estimated in advance, and the motion feature of the target is extracted. A tennis appearance model is established by sparse representation, and the data of high-resolution tennis flight appearance model are processed by data fusion technology to track the parabolic trajectory. Based on the analysis of the characteristics of the serve mechanics, according to the nonlinear transformation of the parabolic trajectory state vector, the parabolic trajectory starting point is determined, the parabolic trajectory is obtained, and the detection algorithm of the parabolic service is designed. Experimental results show that compared with the other two algorithms, the algorithm designed in this paper can recognize the trajectory of the parabola at different stages, and the detection accuracy of the parabola is higher in the three-dimensional space of the tennis service.

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Section: Construction Of Parabolic Trajectorymentioning

confidence: 99%

Parabolic Detection Algorithm of Tennis Serve Based on Video Image Analysis Technology

Tang¹

2021

Security and Communication Networks

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“…After pre-processing, the image of the substation equipment still contains irrelevant information, such as time and watermark. The processing speed, efficiency, and accuracy will be affected due to the image containing dense pixel information [36,37]. Therefore, it is necessary to locate and segment the RoI from the background.…”

Section: Roi Extraction Based On Contour Informationmentioning

confidence: 99%

Thermal Defect Detection for Substation Equipment Based on Infrared Image Using Convolutional Neural Network

Wang

Zhang

et al. 2021

Electronics

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Thermal defects of substation equipment have a great impact on the stability of power systems. Temperature is crucial for thermal defect detection in infrared images. The traditional detection methods, which have low efficiency and poor accuracy, record the temperature of infrared images manually. In this study, a thermal defect detection method based on infrared images using a convolutional neural network (CNN) is proposed. Firstly, the improved pre-processing method is applied to reduce background information, and the region of interest is located according to the contour and position information, hence improving the quality of images. Then, the temperature values are segmented to establish the dataset (T-IR11), which contains 11 labels. Finally, the CNN model is constructed to extract features, and the support vector machine is trained for classification. To verify the effectiveness of the proposed method, precision, recall, and F1 score are adopted and 10-fold cross-validation is employed on the T-IR11 dataset. The results demonstrate that the accuracy of the proposed method is 99.50%, and the performance is superior to that of previous methods in terms of infrared images. The proposed method can realize automatic temperature recognition and equipment with thermal defects can be recorded systematically, which has significant practical value for defect detection in substation equipment.

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Intensity image quality assessment based on multiscale gradient magnitude similarity deviation

Cited by 2 publications

References 0 publications

Parabolic Detection Algorithm of Tennis Serve Based on Video Image Analysis Technology

Parabolic Detection Algorithm of Tennis Serve Based on Video Image Analysis Technology

Thermal Defect Detection for Substation Equipment Based on Infrared Image Using Convolutional Neural Network

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