Text detection for dust image based on deep learning

doi:10.1109/YAC.2018.8406472

	Text detection for dust image based on deep learning
	Liu, Hao; Li, Ce; Jia, Shengze; Zhang, Dong
	2018-07-06
会议名称	33rd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2018
会议录名称	Proceedings - 2018 33rd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2018
页码	754-759
会议日期	May 18, 2018 - May 20, 2018
会议地点	Nanjing, China
出版者	Institute of Electrical and Electronics Engineers Inc.
摘要	With a large number of images, we rely on the text in images to understand the image quickly and extract useful information. So text detection in images has become one of the important topics of intelligent information processing. With the deteriorating environment, dust weather is more and more common, and text regions in dust images always exit some questions that blur, text features weakened or lost greatly affects our understanding of images and also limits extracting text information from images. Therefore, the traditional algorithm is not good at text detection of dust images. In order to solve these problems, a new method is proposed to detect the dust image text, which is divided into two modules. Firstly, the dust image is enhanced by the dust image enhancement algorithm based on color transfer, and the text and non-text regions in the image are divided by the maximally stable extremal regions, which greatly reduces the computational cost. Next, we choose the text candidate region through convolutional neural network. And then text lines are obtained by the run length smoothing algorithm. Finally, the non-text regions are removed by gaussian smoothing and candidate area filtering to realize text detection in dust images. The experimental results show that the algorithm can be used to detect text regions in dust images with good performance. © 2018 IEEE.
关键词	Deep learning Dust Neural networks Computational costs Convolutional neural network Enhancement algorithms Image enhancement algorithm Intelligent information processing Maximally Stable Extremal Regions Run length smoothing algorithms Text detection
DOI	10.1109/YAC.2018.8406472
收录类别	EI
语种	英语
EI入藏号	20183105631763
EI主题词	Image enhancement
来源库	Compendex
分类代码	451.1 Air Pollution Sources
引用统计	无
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/118031
专题	能源与动力工程学院
作者单位	College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China
第一作者单位	兰州理工大学
推荐引用方式 GB/T 7714	Liu, Hao,Li, Ce,Jia, Shengze,et al. Text detection for dust image based on deep learning[C]:Institute of Electrical and Electronics Engineers Inc.,2018:754-759.