자연 영상에서 획 너비 추정 기반 텍스트 영역 이진화

• 영문명: The Binarization of Text Regions in Natural Scene Images, based on Stroke Width Estimation
• 발행기관: 한국스마트미디어학회
• 저자명: Chengdong Zhang 김정환(Jung Hwan Kim) 이귀상(Guee Sang Lee)
• 간행물 정보: 『스마트미디어저널』Vol1, No.4, 27~34쪽, 전체 8쪽
• 주제분류: 공학 > 컴퓨터학
• 파일형태: PDF
• 발행일자: 2012.12.30

영문 초록

In this paper, a novel text binarization is presented that can deal with some complex conditions, such as shadows, non-uniform illumination due to highlight or object projection, and messy backgrounds. To locate the target text region, a focus line is assumed to pass through a text region. Next, connected component analysis and stroke width estimation based on location information of the focus line is used to locate the bounding box of the text region, and each box of connected components. A series of classifications are applied to identify whether each CC(Connected component) is text or non-text. Also, a modified K-means clustering method based on an HCL color space is applied to reduce the color dimension. A text binarization procedure based on location of text component and seed color pixel is then used to generate the final result.

목차

Abstract

I. INTRODUCTION

II. RELATED RESEARCH

III. PROPOSED METHOD

IV. EXPERIMENTS on TEXT BINARIZATION

V. CONCLUSION

Reference

키워드

connected component analysis text feature stroke width estimation k-means clustering color reduction edge detection text binarization