计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2013年
8期
174-177
,共4页
背景估计%奇异值分解(SVD)%非均匀照度和对比度%归一化
揹景估計%奇異值分解(SVD)%非均勻照度和對比度%歸一化
배경고계%기이치분해(SVD)%비균균조도화대비도%귀일화
background estimation%Singular Value Decomposition(SVD)%non-uniform illumination and contrast%normalization
针对视网膜眼底图像归一化中的背景估计问题,提出了基于奇异值分解(Singular Value Decomposition,SVD)背景估计新方法.从原理上阐述了SVD估计背景的可行性,并在此基础上设计SVD低通滤波器实现了眼底图像的背景估计,最终实现图像的归一化.新方法在完成图像归一化的基础上,克服了传统眼底图像归一化中背景估计环节计算速度慢的特点,这对视网膜眼底图像后续处理具有重要意义.
針對視網膜眼底圖像歸一化中的揹景估計問題,提齣瞭基于奇異值分解(Singular Value Decomposition,SVD)揹景估計新方法.從原理上闡述瞭SVD估計揹景的可行性,併在此基礎上設計SVD低通濾波器實現瞭眼底圖像的揹景估計,最終實現圖像的歸一化.新方法在完成圖像歸一化的基礎上,剋服瞭傳統眼底圖像歸一化中揹景估計環節計算速度慢的特點,這對視網膜眼底圖像後續處理具有重要意義.
침대시망막안저도상귀일화중적배경고계문제,제출료기우기이치분해(Singular Value Decomposition,SVD)배경고계신방법.종원리상천술료SVD고계배경적가행성,병재차기출상설계SVD저통려파기실현료안저도상적배경고계,최종실현도상적귀일화.신방법재완성도상귀일화적기출상,극복료전통안저도상귀일화중배경고계배절계산속도만적특점,저대시망막안저도상후속처리구유중요의의.
A novel Singular Value Decomposition(SVD)method to estimate the fundus images background is presented. The feasibility of background estimation by using SVD is clarified in theory, and a SVD low-pass-filter is designed to realize the esti-mation of background to normalize the fundus image. Based on the normalization of fundus images, the new method reduces the computation time of background estimation during traditional fundus image normalization, which is meaningful to the post-processing of fundus image.
