AEMSER Using Adaptive Threshold Of Canny Operator To Extract Scene Text

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

MSER; 캐니 자동 임계값; 장면 텍스트 추출; 적응적 임계값; 임계값 계산; MSER; Canny Auto Threshold; Scene Text Extraction; Adaptive Threshold; Threshold Computation
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
DOI
10.9728/dcs.2015.16.6.951
발행일
2015
저널명
디지털콘텐츠학회논문지
권
16
호
6
페이지
951 ~ 959