SIA OpenIR  > 沈阳自动化所知识产出(2000年前)
动态有序变化的阈值曲面方法
Alternative TitleImage segmentation method based on orderly changed active thresholding curved surface
王威钢; 李一凡
Department中国科学院沈阳自动化研究所
Source Publication模式识别与人工智能
ISSN1003-6059
2000
Volume13Issue:3Pages:353-356
Indexed ByEI ; CSCD
EI Accession number2001015500455
CSCD IDCSCD:504065
Contribution Rank1
Keyword动态阈值曲面 图像分割
Abstract对于背景灰度不一致的图像的二值化问题,可采用在图像的不同区域选取不同阈值的动态阈值曲面方法解决。本文提出一种有序变化的动态阈值曲面方法,通过选取三个动态变化调节系数,使曲面动态地逼近阈值分割的最佳值,同时又降低曲面的误分割,能较好地提取二值图像。
Other AbstractTo thresholding an image with uneven background, different thresholding values should be selected for different zones in the image. We propose an active thresholding method, which push the thresholding surface to optimal position and decrease some mis-thresholding by choosing three adjustment coefficients. Experiment results show that the proposed method can segment image well.
Language中文
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/1090
Collection沈阳自动化所知识产出(2000年前)
Corresponding Author王威钢
Affiliation中国科学院沈阳自动化研究所
Recommended Citation
GB/T 7714
王威钢,李一凡. 动态有序变化的阈值曲面方法[J]. 模式识别与人工智能,2000,13(3):353-356.
APA 王威钢,&李一凡.(2000).动态有序变化的阈值曲面方法.模式识别与人工智能,13(3),353-356.
MLA 王威钢,et al."动态有序变化的阈值曲面方法".模式识别与人工智能 13.3(2000):353-356.
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