Practical methods of image data preprocessing for enhancing the performance of deep learning based road crack detection

Q4 Computer Science

ICIC Express Letters, Part B: Applications Pub Date : 2020-04-01 DOI:10.24507/ICICELB.11.04.373

Yun-Jung Shin, Min-Soo Kim, Kyongsok Pak, Dong-Sup Kim

引用次数: 3

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提高基于深度学习的道路裂缝检测性能的图像数据预处理实用方法

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ICIC Express Letters, Part B: Applications Computer Science-Computer Science (all)

CiteScore

1.00

自引率

0.00%

发文量

期刊介绍： The ICIC Express Letters, Part B: Applications (abbreviated as ICIC-ELB) is a peer-reviewed English language journal of research and surveys on Innovative Computing, Information and Control, and is published by ICIC International monthly. The primary aim of the ICIC-ELB is to publish timely quality short papers (generally no more than 8 printing pages) with emphasis on applications of established or new developed novel techniques, approaches and methodologies of computing systems, intelligent systems, information processing, and automation and control systems.