吉林大学学报(信息科学版)
吉林大學學報(信息科學版)
길림대학학보(신식과학판)
JOURNAL OF JILIN UNIVERSITY(INFORMATION SCIENCE EDITION)
2014年
3期
239-246
,共8页
任伟建%任璐%公丽颖%石阔
任偉建%任璐%公麗穎%石闊
임위건%임로%공려영%석활
小波变换%方向滤波器%小波阈值法%工程图纸去噪
小波變換%方嚮濾波器%小波閾值法%工程圖紙去譟
소파변환%방향려파기%소파역치법%공정도지거조
wavelet transform%directional filter%wavelet thresholding algorithm%engineering drawings denoising
针对小波阈值法中的小波变换只能将图像分解到有限方向,而不能较好地表征图像多方向性的问题,用改进混合小波-方向滤波器组(HWD:Hybrid Wavelet-Directional filter banks)变换代替单纯小波变换,使在图像分解过程中更好地表征图像的多方向性,保存更多的图像信息;在分析小波阈值去噪原理的基础上,改变隶属度函数,构建HWD隶属度的权系数,从而避免因小波系数间存在幅值交叉使小波阈值法的应用受到限制。改进的HWD在损失最少图像小波系数的前提下,能最大限度地置零噪声小波系数。实际工程图纸去噪研究表明,改进的小波阈值法可在去除一定噪声的前提下,保留更多的工程图纸细节信息。
針對小波閾值法中的小波變換隻能將圖像分解到有限方嚮,而不能較好地錶徵圖像多方嚮性的問題,用改進混閤小波-方嚮濾波器組(HWD:Hybrid Wavelet-Directional filter banks)變換代替單純小波變換,使在圖像分解過程中更好地錶徵圖像的多方嚮性,保存更多的圖像信息;在分析小波閾值去譟原理的基礎上,改變隸屬度函數,構建HWD隸屬度的權繫數,從而避免因小波繫數間存在幅值交扠使小波閾值法的應用受到限製。改進的HWD在損失最少圖像小波繫數的前提下,能最大限度地置零譟聲小波繫數。實際工程圖紙去譟研究錶明,改進的小波閾值法可在去除一定譟聲的前提下,保留更多的工程圖紙細節信息。
침대소파역치법중적소파변환지능장도상분해도유한방향,이불능교호지표정도상다방향성적문제,용개진혼합소파-방향려파기조(HWD:Hybrid Wavelet-Directional filter banks)변환대체단순소파변환,사재도상분해과정중경호지표정도상적다방향성,보존경다적도상신식;재분석소파역치거조원리적기출상,개변대속도함수,구건HWD대속도적권계수,종이피면인소파계수간존재폭치교차사소파역치법적응용수도한제。개진적HWD재손실최소도상소파계수적전제하,능최대한도지치령조성소파계수。실제공정도지거조연구표명,개진적소파역치법가재거제일정조성적전제하,보류경다적공정도지세절신식。
For the defects that the image can only be decomposed into a finite orientation by the wavelet transformation, and multi-directional of image can not be better characterized, the directional filter is applied to the method of wavelet threshold, namely, the HWD ( Hybrid Wavelet-Directional filter banks) instead of the mere wavelet transform is used to better characterized the multi-directional of image and to retain more image information. To avoid the phenomenon of amplitude cross exists between image wavelet coefficients and noise wavelet coefficients, the method of wavelet thresholding was restricted by this shortcoming, membership function was changed based on the principle of the wavelet, and the membership weights of HWD was built by the membership function. The wavelet coefficients of noise were set to zero maximum with losing the image coefficients at least by this improved HWD. The wavelet coefficients of noise were set to zero maximum with losing the image coefficients at least by this improved HWD. The studies show that more details of engineering drawings can be retained by the improved wavelet threshold method beside removing some noise.