计算机工程Issue(2)：219-223,5.DOI:10.3969/j.issn.1000-3428.2014.02.047
基于 SIFT 相似性度量的图像缩放
Image Scaling Based on SIFT Similarity Measure
张静 1华顺刚2
作者信息
- 1. 首钢工学院机电工程系，北京 100144
- 2. 大连理工大学机械工程学院，辽宁 大连 116024
- 折叠
摘要
Abstract
Aiming at the problem of the damage and distortion of image content existing in the traditional image resizing, an effective image scaling algorithm combining seam carving with scaling is proposed. An image is first resized using seam carving, then the Scale Invariant Feature Transform(SIFT) features are extracted from the original image and the resized one respectively, and the SIFT features between two images are matched and calculated to obtain their similarity distance. When the similarity distance between the original and the resized image reaches a certain threshold, namely, before the salient object and content are damaged obviously, seam carving is stopped and scaling is adopted for the residual task. Experimental results show that this algorithm is able to avoid the damage and distortion of image content and preserve both the local structure and the global visual effect of the image graciously.关键词
图像缩放/尺度不变特征变换/接缝雕刻/标准缩放/相似性距离/阈值Key words
image scaling/Scale Invariant Feature Transform(SIFT)/seam carving/standard scaling/similarity distance/threshold分类
信息技术与安全科学引用本文复制引用
张静,华顺刚..基于 SIFT 相似性度量的图像缩放[J].计算机工程,2014,(2):219-223,5.
