基于最大散度差准则的阈值图像分割

王志斌, 谷越, 李志全

王志斌, 谷越, 李志全. 基于最大散度差准则的阈值图像分割[J]. 应用光学, 2010, 31(3): 403-407.
引用本文: 王志斌, 谷越, 李志全. 基于最大散度差准则的阈值图像分割[J]. 应用光学, 2010, 31(3): 403-407.
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WANG Zhi-bin, GU Yue, LI Zhi-quan. Threshold image segmentation based on maximum scatter difference discriminant criterion[J]. Journal of Applied Optics, 2010, 31(3): 403-407.
Citation: WANG Zhi-bin, GU Yue, LI Zhi-quan. Threshold image segmentation based on maximum scatter difference discriminant criterion[J]. Journal of Applied Optics, 2010, 31(3): 403-407.
shu

基于最大散度差准则的阈值图像分割

  • 燕山大学电气工程学院,河北秦皇岛066004

详细信息
    通讯作者:

    王志斌(1977-), 男，河北行唐人，副教授，博士，主要从事图像处理、模式识别与光纤传感技术研究工作。

  • 中图分类号: TN911.73;TP391.41

Threshold image segmentation based on maximum scatter difference discriminant criterion

  • Institute of Electrical Engineering,Qinhuangdao 066004,China

摘要

    摘要
  • 摘要: 针对目标和背景的面积相差很大时，最大类间方差阈值法(Otsu阈值法)得到的阈值是有偏的，从而造成阈值图像分割失败的问题，提出一种最大散度差准则的阈值图像分割方法。最大散度差准则以广义散度差类间方差减去C倍的类内方差作为分离性度量，同时考虑类间方差和类内方差在可分性中的作用，可有效克服最大类间方差阈值法(Otsu阈值法)的阈值偏移现象。实验结果表明：通过选择适当的参数C，该方法能得到比最大类间方差法更好的分割结果。
    Abstract: Previous research results show that threshold obtained by maximum between-class variance method (i.e. Otsu method) is biased when the area of object and background differs significantly and may lead to failure segmentation. A new image segmentation method based on maximum scatter difference is proposed. Maximum scatter difference uses generalized scatter difference, i.e., the difference of between-class scatter difference and C times of withinclass scatter difference, as the discriminant measure. Maximum scatter difference considers simultaneously the function of discrimination of betweenclass scatter difference within-class scatter difference. The proposed method can prevents the threshold biasing from maximum between-class variance method. Experimental results show that the proposed method can obtain better segmentation result than otsu method by appropriately selecting parameter C.
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  • 刊出日期:  2010-05-14

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