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AEMSER Using Adaptive Threshold Of Canny Operator To Extract Scene Text
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 Title & Authors
AEMSER Using Adaptive Threshold Of Canny Operator To Extract Scene Text
Park, Sunhwa; Kim, Donghyun; Im, Hyunsoo; Kim, Honghoon; Paek, Jaegyung; Park, Jaeheung; Seo, Yeong Geon;
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 Abstract
Scene text extraction is important because it offers some important information on different image based applications pouring in current smart generation. Edge-Enhanced MSER(Maximally Stable Extremal Regions) which enhances the boundaries using the canny operator after extracting the basic MSER shows excellent performance in terms of text extraction. But according to setting the threshold of the canny operator, the result images using Edge-Enhanced MSER are different, so there needs a method figuring out the threshold. In this paper, we propose a AEMSER(Adaptive Edge-enhanced MSER) that applies the method extracting the boundary using the middle value of histogram to Edge-Enhanced MSER to get the canny operator's threshold. The proposed method can acquire better result images than the existing methods because it extracts the area only for the obvious boundaries.
 Keywords
MSER;Canny Auto Threshold;Scene Text Extraction;Adaptive Threshold;Threshold Computation;
 Language
English
 Cited by
1.
실세계 영상에서 적응적 에지 강화 기반의 MSER을 이용한 글자 영역 추출 기법,박영목;박순화;서영건;

디지털콘텐츠학회 논문지, 2016. vol.17. 4, pp.219-226 crossref(new window)
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