Image segmentation based on 2D Otsu method with histogram analysis

Zhang Jun, Hu Jinglu

研究成果: Conference contribution

181 被引用数 (Scopus)

抄録

Image segmentation plays an important role in image analysis and computer vision system. Among all segmentation techniques, the automatic thresholding methods are widely used because of their advantages of simple implement and time saving. Otsu method is one of thresholding methods and frequently used in various fields. Two-dimensional (2D) Otsu method behaves well in segmenting images of low signal-to-noise ratio than one-dimensional (1D). But it gives satisfactory results only when the numbers of pixels in each class are close to each other. Otherwise, it gives the improper results. In this paper, 2D histogram projection is used to correct the Otsu threshold. The 1D histograms are acquired by 2D histogram projection in x and y axes and a fast algorithm for searching the extrema of the projected histogram is proposed based on the wavelet transform in this paper. Experimental results show that the proposed method performs better than the traditional Otsu method for our renal biopsy samples.

本文言語English
ホスト出版物のタイトルProceedings - International Conference on Computer Science and Software Engineering, CSSE 2008
ページ105-108
ページ数4
DOI
出版ステータスPublished - 2008
イベントInternational Conference on Computer Science and Software Engineering, CSSE 2008 - Wuhan, Hubei, China
継続期間: 2008 12 122008 12 14

出版物シリーズ

名前Proceedings - International Conference on Computer Science and Software Engineering, CSSE 2008
6

Conference

ConferenceInternational Conference on Computer Science and Software Engineering, CSSE 2008
CountryChina
CityWuhan, Hubei
Period08/12/1208/12/14

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Software

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