Earticle

초록

영어

In ubiquitous computing environments, many applications are devised to provide autonomous services. To make services autonomous, each service has to inevitably recognize the deployed devices or objects in ubiquitous computing environments. In order to provide an autonomous service based on vision system, we address an efficient character segmentation algorithm by means of introducing the locally adaptive binarization and the object labeling by Connected Components Analysis (CCA). The proposed binarization technique carries out the grayscale-to-binary image conversion with block-based processing to reflect the local variation of images. The object labeling by CCA algorithm is applied to the binarized image with the morphological operation in order to improve the object connectivity. Experimental results show that the proposed algorithm can segment each object reasonably even with atypical or erratic form. Therefore, the proposed algorithm can be useful for development of various applications in ubiquitous computing environments.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Proposed Algorithm
  3.1. Adaptive Binarization
  3.2. Character Labeling by CCA
  3.3. Directional Projection
 4. Experimental Results
 5. Conclusions
 References

키워드

저자

• Jongho Kim [ Dept. of Multimedia Engineering, Sunchon National University ]
• YongYun Cho [ Dept. of Information & Communication Engineering, Sunchon National University ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605