Thresholding Algorithm for Local and Parallel Processing

Satohi Iwakata, Masafumi Hagiwara, Yoshiaki Ajioka

研究成果: Article査読

4 被引用数 (Scopus)

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 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.

本文言語English
ページ(範囲)7-13
ページ数7
ジャーナルIEEJ Transactions on Electronics, Information and Systems
125
1
DOI
出版ステータスPublished - 2005 1

ASJC Scopus subject areas

  • 電子工学および電気工学

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