Translation line UAV inspection Image quality assessment based on Salient edge Blur Metric
| Autor: | Liu Guangxiu, Xiaobin Sun, Yue Liu, Wanguo Wang, Shiyou Mu |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Image quality
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology Shake Salient Robustness (computer science) Frequency domain Human visual system model Evaluation methods 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Blur metric |
| Zdroj: | 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). |
| DOI: | 10.1109/iaeac47372.2019.8997754 |
| Popis: | The recent development of UAV in translation line inspection leads to more efficient inspection than human. The image quality of UAV is an import rule to judge the UAV inspection effectiveness. A global and local features fusion based method is presented for UAV image quality evaluation in this paper. For the evaluation of overall quality of image, it combines sharpness index in frequency domain and the distribution density and orientation features of edge lines in space domain to judge the existence of the camera shake blur. And the average width of salient edges is analyzed to determine the blur degree of local details in image. Finally, this evaluation method is verified effectively through many inspection images. It shows its effectiveness and robustness under various complex background and different contents of the image, and the evaluation result is consistent with 5 standards of subjective evaluation. So the method will be suitable to the intelligent recognition and analysis. |
| Databáze: | OpenAIRE |
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