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Kechen Song(Associate professor)

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  • Supervisor of Doctorate Candidates  Supervisor of Master's Candidates
  • Name (English):Kechen Song
  • E-Mail:
  • Education Level:With Certificate of Graduation for Doctorate Study
  • Gender:Male
  • Degree:博士
  • Status:Employed
  • Alma Mater:东北大学
  • Teacher College:机械工程与自动化学院

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  • Multi-Exposure Fusion for Curved Workpieces

Multi-Exposure Fusion for Curved Workpieces

CW-MEF dataset:

CW-MEF dataset.jpg

To fill the gap of MEF datasets in the industrial field, a novel curved workpieces dataset called CW-MEF for the MEF task is proposed. The samples in the dataset have been carefully selected to cover mainstream mechanical workpieces, critical parts like engine blades, and hardware tools that are very common in daily life. All samples have a characteristic that is prone to produce reflection under the light, so the workpiece samples we selected are highly representative. The CW-MEF dataset is divided into 44 categories and contains a total of 4113 images, all of which are 1280 × 1024 in size. The dataset is available at: https://github.com/VDT-2048/CW-MEF.

Chongyan Sun, Kechen Song, et al. A Multi-Exposure Fusion Method for Reflection Suppression of Curved Workpieces [J]. IEEE Transactions on Instrumentation and Measuremente,2022,71,5021104. (paper) (code & dataset)