@article{4089,
  author = {Xiangxiang Luo, Ruiqi Hu, Zhuotong Du, Panpan Zhu},
  title = {Automated Restoration Measurement Analysis of Image Grayscale Imaging Sequence Based on Triangle Shape},
  journal = {Journal of Multimedia Processing and Technologies},
  year = {2024},
  volume = {15},
  number = {3},
  doi = {https://doi.org/10.6025/jmpt/2024/15/3/109-119},
  url = {https://www.dline.info/jmpt/fulltext/v15n3/jmptv15n3_3.pdf},
  abstract = {Image grayscale imaging technology has a wide range of applications in modern image processing, such as medical imaging, remote sensing, security monitoring, etc. However, in certain application scenarios, due to limitations of imaging equipment or external factors, images may experience distortion or damage, affecting their quality and accuracy in subsequent processing. This article studies an automatic restoration measurement and analysis method for image grayscale imaging sequences based on triangles. This method uses triangles to segment the image, and achieves automatic image restoration and measurement by grayscale imaging of the segmented triangles. This article verifies the feasibility and effectiveness of this method through experiments.},
}