[1]孟晋宇,舒华忠,鲍旭东,等.一种新的基于形状的灰度图像插值方法[J].东南大学学报(自然科学版),2003,33(2):222-225.[doi:10.3969/j.issn.1001-0505.2003.02.027]
 Meng Jinyu,Shu Huazhong,Bao Xudong,et al.New shape-based interpolation of grey-level images[J].Journal of Southeast University (Natural Science Edition),2003,33(2):222-225.[doi:10.3969/j.issn.1001-0505.2003.02.027]
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一种新的基于形状的灰度图像插值方法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
33
期数:
2003年第2期
页码:
222-225
栏目:
生物医学工程
出版日期:
2003-03-20

文章信息/Info

Title:
New shape-based interpolation of grey-level images
作者:
孟晋宇 舒华忠 鲍旭东 李松毅 罗立民
东南大学生物科学与医学工程系, 南京 210096
Author(s):
Meng Jinyu Shu Huazhong Bao Xudong Li Songyi Luo Limin
Department of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
关键词:
图像插值 数学形态学 三维重建
Keywords:
image interpolation mathematical morphology 3-D reconstruction
分类号:
R814.42
DOI:
10.3969/j.issn.1001-0505.2003.02.027
摘要:
通过2幅已知的灰度图像,用数学形态学的方法确定出插值图像的轮廓.通过求出轮廓内任意插值点与中心点的位置关系,分别找出其在2幅源图像上的对应点.如果2个对应点的灰度值较为接近,可通过线性插值直接求出此插值点的灰度; 如2个对应点的灰度值相差较大,则判断插值点的相对位置与哪个对应点的相对位置接近,并认定插值点的灰度值即为此对应点的灰度值.对轮廓内所有的点采用上述算法,即可求得最终的插值图像.算法将图像的形状信息和灰度信息较好地结合起来.实验结果表明其插值结果是令人满意的.
Abstract:
Mathematical morphology is used to acquire the contour of the interpolated image. Then, to each point in this contour, the corresponding points in both original images are found. If the grey value of both of the corresponding points are close to each other, linear interpolation is used to calculate the grey value of the interpolated point. But if the two corresponding points have distinct grey value, a method to calculate the interpolated point’s grey value is presented. Once all point’s grey value are acquired, the final interpolated image is accomplished. The experimental results show that this new method is effective.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介: 孟晋宇(1979—),男,硕士生; 舒华中(联系人),男,教授,博士生导师,shu.list@seu.edu.cn.
更新日期/Last Update: 2003-03-20