FAST TEXT DETECTION FROM SINGLE HAZY IMAGE USING SMART DEVICE

被引:0
|
作者
Animesh, Chaitanya [1 ]
Mohanty, Sabyasachi [2 ]
Dutta, Tanima [2 ]
Gupta, Hari Prabhat [2 ]
机构
[1] Banaras Hindu Univ, Indian Inst Technol, Dept Elect Engn, Varanasi, Uttar Pradesh, India
[2] Banaras Hindu Univ, Indian Inst Technol, Dept Comp Sci & Engn, Varanasi, Uttar Pradesh, India
关键词
Contrast Enhancement; Haze Removal; Image Filtering; Maximum Weighted Matching; Smart Devices; Text Detection;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Smart devices have enabled massive improvements in road safety applications. Intelligent camera based driver assistance systems have made driving safe and comfortable. The performance of such systems, however, deteriorates in hazy weather conditions due to poor quality images captured by the smart devices. In this paper, we propose a novel framework for fast detection of text regions in a camera captured single hazy image. A novel text extraction technique using the channels of CMYK color space is used. A simple, fast, and efficient approach of using contrast enhancement technique suitable for smart devices is proposed. A maximum weighted matching based grouping approach is used to form words. We have also created a new dataset of hazy images that contains scene texts and manually annotated the words in it. The framework is implemented in different smart devices to show its efficiency.
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页数:6
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