Thresholding algorithm for local and parallel processing

Satoshi Iwakata, Yoshiakia Jioka, Masafumi Hagiwara

研究成果: Article査読

抄録

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.

本文言語English
ページ(範囲)50-56
ページ数7
ジャーナルElectrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi)
157
2
DOI
出版ステータスPublished - 2006 11 15

ASJC Scopus subject areas

  • エネルギー工学および電力技術
  • 電子工学および電気工学

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