Curvilinear thresholding method for noisy images based on 2D histogram

Jun Zhang, Jinglu Hu

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Image thresholding is a useful method in many image processing and computer vision applications. Otsu method is one of popular thresholding methods and has been frequently used as a classical technique in various applications. A premise of this method is that the probability of edge region is supposed to be zero. However, the premise is not proper in some situations such as the images are corrupted by noises. To solve this problem, a curvilinear thresholding method (CTM) is proposed based on the traditional Otsu method. We give a recursive algorithm of line thresholding method (LTM), which is a particular case of CTM, to verify our ideas. In addition, Otsu based method has another weakness that is it gives satisfactory results only when the numbers of pixels in each class are close to each other. Otherwise the threshold will be biased. This paper introduces a two-dimensional (2D) histogram projection method to correct the Otsu threshold. A fast algorithm for searching the valley of one-dimensional (1D) projected histogram is also given based on wavelet transform. Experimental results show that the proposed method performs much better than the traditional Otsu method.

本文言語English
ホスト出版物のタイトル2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008
出版社IEEE Computer Society
ページ1014-1019
ページ数6
ISBN(印刷版)9781424426799
DOI
出版ステータスPublished - 2009
イベント2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008 - Bangkok, Thailand
継続期間: 2009 2 212009 2 26

出版物シリーズ

名前2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008

Conference

Conference2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008
国/地域Thailand
CityBangkok
Period09/2/2109/2/26

ASJC Scopus subject areas

  • バイオテクノロジー
  • 人工知能
  • コンピュータ ビジョンおよびパターン認識
  • 電子工学および電気工学

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