Thresholding Algorithm for Local and Parallel Processing

Satohi Iwakata, Masafumi Hagiwara, Yoshiaki Ajioka

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


In this paper, we propose a thresholding algorithm. This algorithm works under a severe constraint: each pixel in a processed image must be derived from only information of its neighboring pixels. This constraint is very important for a low cost device such as a mobile camera, because it makes possible to process each pixel in parallel. The proposed algorithm deals with gray-scale images, and determines the threshold based on edge information. The proposed algorithm is represented by local and parallel image processing and has been tested using 104 scenery images. The result shows that the proposed algorithm can binarizing images.

Original languageEnglish
Pages (from-to)7-13
Number of pages7
JournalIEEJ Transactions on Electronics, Information and Systems
Issue number1
Publication statusPublished - 2005 Jan


  • character extraction
  • image processing
  • local and parallel image processing
  • scenery image
  • support for sight-restricted people
  • thresholding

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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