Knowledge Management System of Shenyang Institute of Automation, CAS
动态有序变化的阈值曲面方法 | |
Alternative Title | Image 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
![]() |
ISSN | 1003-6059 |
2000 | |
Volume | 13Issue:3Pages:353-356 |
Indexed By | EI ; CSCD |
EI Accession number | 2001015500455 |
CSCD ID | CSCD:504065 |
Contribution Rank | 1 |
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 Abstract | To 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 |
Identifier | http://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. |
Files in This Item: | ||||||
File Name/Size | DocType | Version | Access | License | ||
MSSB200003022.pdf(508KB) | 开放获取 | CC BY-NC-SA | View Application Full Text |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment