[1]王晖,高建波,黄芬.基于宽度细化的图像过渡区提取[J].深圳大学学报理工版,2005,22(1):7-11.
 WANG Hui,GAO Jian-bo,and HUANG Fen.Extraction of transition region of image based on ramp width reduction[J].Journal of Shenzhen University Science and Engineering,2005,22(1):7-11.
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基于宽度细化的图像过渡区提取()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第22卷
期数:
2005年1期
页码:
7-11
栏目:
光电与信息工程
出版日期:
2005-01-30

文章信息/Info

Title:
Extraction of transition region of image based on ramp width reduction
文章编号:
1000-2618(2005)01-0007-05
作者:
王晖高建波黄芬
深圳大学信息工程学院,深圳 518060
Author(s):
WANG HuiGAO Jian-bo and HUANG Fen
College of Information Engineering Shenzhen University,Shenzhen 518060 P. R. China
关键词:
斜坡边缘宽度细化过渡区灰度加权梯度算子
Keywords:
Ramp edge width reduction transition region gray-weighted gradient operator
分类号:
TP 391
文献标志码:
A
摘要:
利用中心像素领域灰度信息,提出一种新的图像边缘宽度细化算法,使斜坡边缘的细化效果有明显提高。采用新的灰度加权梯度算子对细化后的图像提取过渡区,能较好地抑制图像噪声。实验结果表明,结合灰度加权梯度算子和宽度细化算法提取的过渡区效果更佳。
Abstract:
A new algorithm of ramp width reduction based on the gray information of neighborhood pixels is proposed in order to sharpen the ramp edge effectively. The gray-weighted gradient operator was introduced to extract the transition regions in image and meanwhile suppress the noise. Simulation results have shown the performance of extacting transition regions is improved when both ramp width reduction and gray-weighted gradient operator are exploited.
更新日期/Last Update: 2015-10-16