Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/7348
Title: 基于局部模糊方差的过渡区提取及图像分割
Other Titles: Extraction of transition region and image segmentation based on local fuzzy variance
Authors: Ian, Y
Liu, JJ
Xie, YB
Shi, W 
Keywords: Image segmentation
Transition region
Local fuzzy variance
Threshold
Issue Date: 2007
Publisher: 中國學術期刊 (光盤版) 電子雜誌社
Source: 紅外與毫米波學報 (Journal of infrared and millimeter waves), Oct. 2007, v. 26, no. 5, p. 386-389 How to cite?
Journal: 紅外與毫米波學報 (Journal of infrared and millimeter waves) 
Abstract: 为取得良好的图像分割效果,利用局部模糊方差区分过渡区与背景区的差异,提出了一种基于局部模糊方差的图像过渡区提取方法并用于图像的分割.首先将利用模糊集构造模糊方差的方法拓展到二维图像的情形,进而利用局部模糊方差构造过渡区.在此基础上通过多阈值的选择方法在过渡区上确定阈值,最后将其用于图像分割.实验结果表明所提方法具有较强的鲁棒性,并能取得良好的分割效果.
To obtain a favorable segmented result of an image, a transition region method, based on the difference of local fuzzy variance between transition region and background, was proposed and used for image segmentation. First, the method to construct fuzzy variance based on fuzzy set was extended to the case of two dimensional image; second, a transition region was obtained by the local fuzzy variance; and at last the final segmented result was acquired by a multi-threshold selecting method. Experimental results show that the proposed method is robust and it can provide satisfactory segmented result.
URI: http://hdl.handle.net/10397/7348
ISSN: 1001-9014
Rights: © 2007 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。
© 2007 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research use.
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