Shape-based Interpolation of Grey-level Images

被引：2

作者：

Qian Jin ^{[1
]}

Song Shuni ^{[1
]}

Wu Jian ^{[1
]}

Feng Nan ^{[1
]}

Shi Datao ^{[1
]}

机构：

[1] Northeast Univ, Coll Sci, Shenyang, Peoples R China

来源：

2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL. 3 | 2010年

关键词：

Image Interpolation; Mathematical Morphology; 3-D Reconstruction;

D O I：

10.1109/ICACC.2010.5486731

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The two given gray images are preprocessed, including filtering image processing, on the fault slice image binarization segmentation processing and image of the two distribution centers. Mathematical morphology is used to acquire the contour of the interpolated image. Then, the corresponding points are identified respectively in the two images through calculating the relation between the arbitrary point of contours and the focal point of the angle. 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.

引用

页码：9 / 12

页数：4

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