计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2014年
2期
219-223
,共5页
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
圖像縮放%呎度不變特徵變換%接縫彫刻%標準縮放%相似性距離%閾值
도상축방%척도불변특정변환%접봉조각%표준축방%상사성거리%역치
image scaling%Scale Invariant Feature Transform(SIFT)%seam carving%standard scaling%similarity distance%threshold
针对传统图像缩放算法存在的图像内容破坏与失真等问题,提出一种结合接缝雕刻和标准缩放的图像缩放算法。利用接缝雕刻算法对原始图像进行尺寸调整,分别从原始图像和缩放图像上提取尺度不变特征变换(SIFT)特征,并对2幅图像的 SIFT 特征进行匹配计算,得到两者的相似性距离。当原始图像与缩放图像之间的相似性距离达到某阈值时,即在图像重要目标或内容将要被破坏之前,停止使用接缝雕刻算法,采用标准缩放算法进行整体尺寸的调整操作。实验结果表明,该算法不仅可以有效避免图像内容的破坏与失真,而且可以较好地保护图像局部结构和全局视觉效果。
針對傳統圖像縮放算法存在的圖像內容破壞與失真等問題,提齣一種結閤接縫彫刻和標準縮放的圖像縮放算法。利用接縫彫刻算法對原始圖像進行呎吋調整,分彆從原始圖像和縮放圖像上提取呎度不變特徵變換(SIFT)特徵,併對2幅圖像的 SIFT 特徵進行匹配計算,得到兩者的相似性距離。噹原始圖像與縮放圖像之間的相似性距離達到某閾值時,即在圖像重要目標或內容將要被破壞之前,停止使用接縫彫刻算法,採用標準縮放算法進行整體呎吋的調整操作。實驗結果錶明,該算法不僅可以有效避免圖像內容的破壞與失真,而且可以較好地保護圖像跼部結構和全跼視覺效果。
침대전통도상축방산법존재적도상내용파배여실진등문제,제출일충결합접봉조각화표준축방적도상축방산법。이용접봉조각산법대원시도상진행척촌조정,분별종원시도상화축방도상상제취척도불변특정변환(SIFT)특정,병대2폭도상적 SIFT 특정진행필배계산,득도량자적상사성거리。당원시도상여축방도상지간적상사성거리체도모역치시,즉재도상중요목표혹내용장요피파배지전,정지사용접봉조각산법,채용표준축방산법진행정체척촌적조정조작。실험결과표명,해산법불부가이유효피면도상내용적파배여실진,이차가이교호지보호도상국부결구화전국시각효과。
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.