Browse > Article

A Study on Image Binarization using Intensity Information  

김광백 (신라대학교 컴퓨터공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.8, no.3, 2004 , pp. 721-726 More about this Journal
Abstract
The image binarization is applied frequently as one part of the preprocessing phase for a variety of image processing techniques such as character recognition and image analysis, etc. The performance of binarization algorithms is determined by the selection of threshold value for binarization, and most of the previous binarization algorithms analyze the intensity distribution of the original images by using the histogram and determine the threshold value using the mean value of Intensity or the intensity value corresponding to the valley of the histogram. The previous algorithms could not get the proper threshold value in the case that doesn't show the bimodal characteristic in the intensity histogram or for the case that tries to separate the feature area from the original image. So, this paper proposed the novel algorithm for image binarization, which, first, segments the intensity range of grayscale images to several intervals and calculates mean value of intensity for each interval, and next, repeats the interval integration until getting the final threshold value. The interval integration of two neighborhood intervals calculates the ratio of the distances between mean value and adjacent boundary value of two intervals and determine as the threshold value of the new integrated interval the intensity value that divides the distance between mean values of two intervals according to the ratio. The experiment for performance evaluation of the proposed binarization algorithm showed that the proposed algorithm generates the more effective threshold value than the previous algorithms.
Keywords
이진화;임계치;히스토그램;평균밝기;
Citations & Related Records
연도 인용수 순위
  • Reference
1 윤형근, 이지훈, 김광백, '퍼지 이진화 방법에관한 연구,' 한국지능정보시스템학회 2002년추계정기학술대회 학술발표 논문집, pp.510-513, 2002
2 김하식, 김강, 조경식, 전종식, '비트평면 패턴을 이용한 최적 이진화 방법," 한국 OA 학회 논문지, 제 6권 4호, pp.1-5, 2001
3 Liane C. Ramac, Pramod K. Varshney, 'Image Thresholding Based on Ali-Silvey Distance Measures,' Pattern Recognition, Vol.30, No.7, 1161-1173, 1997   DOI   ScienceOn
4 S. Marchand-Maillet, Y. M. Sharaiha, Binary Digital Image Processing, ACADEMIC PRESS, 2000
5 김광백, 노영욱, '동적인 임계화 방법과 코호넨 알고리즘을 이용한 차량 번호판 인식에관한 연구,' 한국통신학회 논문지, 제26권,12A호, pp.2019-2026, 2001
6 R. C. Gonzalez and R. E. Woods, DigitalImage Processing, Addison Wesley, 1992
7 Y. V. Ramana Rao, C. Eswaran, 'A Newalgorothm for BTC Image Bit Plane Coding,IEEE Transaction on Communication, Vo1.43,No.6, pp.2010-2011, 1995   DOI   ScienceOn
8 Seiichiro Kamata, "Depth-First Coding for Multivalued Pictures using Bit Plane Decomposition," IEEE Transaction on Communication, Vol. 43, No.5, pp.1961-1969, 1995   DOI   ScienceOn