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17篇 您的检索式:作者名="ERTUZUN"
    题名 作者 年代 出处 被引量
1A multiwavelet thresholding technique for image denoising using multiwavelet显示文摘Bala E Ertuzun A 2005Eurasip Journal on Applied Signal Processing2005,,8:1
2Using perceptual relation of regularity and anisotropy in the texture with independent component for defect detection显示文摘SEZER O G ERCIL A ERTUZUN A 2006Pattern Recognition2006,39,5:1
3An efficient method for texture defect detection:Subband domain co-eccurrence matrices显示文摘LATIF-AMET L ERTUZUN A ERCIL A 0,,6:1
4Using perceptual rela-tion of regularity and anisotropy in the texture with indepen-dent component for defect detection显示文摘SEZER O G ERCIL A ERTUZUN A 2006Pattern Recognition2006,39,5:1
5Using perceptual relation of regularity and anisotropy in the texture with independent components for defect detection显示文摘SEZER O G ERCIL A ERTUZUN A 2007IEEE Pattern Recognition(S0031-3203)2007,40,12:1
6Modeling of non-stationary autoregressive alpha-stable processes by particle filters显示文摘Gencaga D Ertuzun A Kuruoglu E E 0,,03:1
7Modeling of non- stationary autoregressive alpha-stable processes by particle filters 显示文摘Gencaga D Ertuzun A Kuruoglu E E 2008Digital Signal Processing2008,18,3:1
8Independent Component Analysis for Texture Defect Detection显示文摘Sezer O G Ertuzun A Ercil A 2004Pattern Recognition and Image Analysis2004,14,2:1
9Independent component a- nalysis for texture defect detection 显示文摘SEZER O G ERTUZUN A ERCIL A 2004Pattern Recognition and Im- age Analysis2004,14,2:1
10Using perceptual relation of regularity and anisotropy in the texture with independent component model for defect detection 显示文摘SEZER O G ERCIL A ERTUZUN A 2007Pattern Recognition2007,40,1:1
11An efficient method for texture defect detection:sub-band domain matriees 显示文摘Latif Amet Ertuzun A Ercil A 2000Image and Vision Computing2000,18,67:1
12Two-dimensional delta domain lattice filter and its application to adaptive image enhancement显示文摘Hendekli C M Ertuzun A 1999IEEE Trans Signal Processing1999,47,1:1
13An efficient method for texture defect detection :sub-band domain co-occurrence ma- trices 显示文摘Latif-Amet A Ertuzun A Ercil A 2000Image and Vision Computing2000,18,67:1
14An Efficient Method for Texture Defect Detection: Sub-band Domain Co-occurrence Matrices 显示文摘Latif-Amet A Ertuzun A Ercil A 2000Image and Vision Computing2000,18,:1
15Modeling of non-stationary autoregressive alpha-stable processes by particle filters 显示文摘Gencaga D Ertuzun A Kuruoglu E E 2008Digital Signal Processing2008,18,3:1
16Using Perceptual Relation of Regularity and Anisotropy in the Texture with Independent Component Model for Defect Detection显示文摘Sezer O G Ercil A Ertuzun A 2007Pattern Recognition2007,40,1:1
17Defect detection in textile fabric images using subband domain subspace analysis显示文摘SERDAROGLU A ERTUZUN A 2007Pattern Recognition and Image Analysis2007,17,4:1
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