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AEMSER Using Adaptive Threshold Of Canny Operator To Extract Scene Text
- 박순화;
- 서영건;
- 김동현;
- 임현수;
- 김홍훈;
- 외 2명
초록
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.
키워드
- 제목
- AEMSER Using Adaptive Threshold Of Canny Operator To Extract Scene Text
- 제목 (타언어)
- AEMSER Using Adaptive Threshold Of Canny Operator To Extract Scene Text
- 저자
- 박순화; 서영건; 김동현; 임현수; 김홍훈; 백재경; 박재홍
- 발행일
- 2015
- 저널명
- 디지털콘텐츠학회논문지
- 권
- 16
- 호
- 6
- 페이지
- 951 ~ 959
- 언어
- ENG
- 출판사
- 한국디지털콘텐츠학회
- 발행국가
- 대한민국
- 분량
- 9 페이지
- ISSN
- E 2287-738X
P 1598-2009