Defect detection and classification of galvanized stamping parts based on fully convolution neural network-Reference-Cited by-同舟云学术

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Defect detection and classification of galvanized stamping parts based on fully convolution neural network

Published:2018-04-10 Issue: Volume: Page:
ISSN:
Container-title:Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
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Author:

Leng Yanyi,Xiao Zhitao,Geng Lei,Xi Jiangtao

Publisher

SPIE

Reference10 articles.

1. Classifying Web Defects with a Back-Propagation Neural Network by Color Image Processing

2. Steel Surface Defect Detection Using Texture Segmentation Based on Multifractal Dimension;Mahyari,2009

3. Vertical scratch detection algorithm for high-speed scale-covered steel BIC (Bar in Coil);Yun,2010

4. Inspection of appearance defects for polarizing films by image processing and neural networks

5. A Threshold Selection Method from Gray-Level Histograms

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