Improving the accuracy of an r-cnn-based crack identification system using different preprocessing algorithms

HIGHLIGHTS

• who: Mian Zhao et al. from the School of Rail Transportation, Soochow University, Suzhou, China have published the Article: Improving the Accuracy of an R-CNN-Based Crack Identification System Using Different Preprocessing Algorithms, in the Journal: Sensors 2022, 7089 of /2022/
• what: The results of the experiments showed that the proposed method has good robustness with higher detection efficiency in the presence of for example road markings shallow cracks multiple cracks and blurring. Li et_al devised a method for detecting anomalies in hyperspectral images that accurately models the background using structural sparsity, and the . . .
  

   

  

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