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Mixed pooling and richer attention feature fusion for crack detection

  • Published:2021-05 Issue: Volume:145 Page:96-102
  • ISSN:0167-8655
  • Container-title:Pattern Recognition Letters
  • language:en
  • Short-container-title:Pattern Recognition Letters

Author:

Zhou Qiang,Qu Zhong,Cao Chong

Funder

National Natural Science Foundation of China

Chongqing University of Posts and Telecommunications

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference26 articles.

1. Linear seam elimination of tunnel crack images based on statistical specific pixels ratio and adaptive fragmented segmentation;Qu;IEEE Trans. Intell. Transp. Syst.,2020

2. Sealed-crack detection algorithm using heuristic thresholding approach;Kamaliardakani;J. Comput. Civil Eng.,2016

3. Research on crack detection method of airport runway based on twice-threshold segmentation;Peng,2015

4. Detecting curves with unknown endpoints and arbitrary topology using minimal paths;Kaul;IEEE Trans. Pattern Anal. Mach. Intell.,2012

5. Automatic crack detection on two-dimensional pavement images: an algorithm based on minimal path selection;Amhaz;IEEE Trans. Intell. Transp. Syst.,2016

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