Thresholding algorithm for local and parallel processing

Satoshi Iwakata, Yoshiakia Jioka, Masafumi Hagiwara

Research output: Contribution to journalArticlepeer-review


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 it 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 binarize images.

Original languageEnglish
Pages (from-to)50-56
Number of pages7
JournalElectrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi)
Issue number2
Publication statusPublished - 2006 Nov 15


  • Character extraction
  • Image processing
  • Local and parallel image processing
  • Scenery image
  • Support for visually impaired persons
  • Thresholding

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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