Seabed Image Texture Segmentation and Classification Based on Nonsubsampled Contourlet Transform

2008 ◽  
pp. 186-193
Author(s):  
Reza Javidan ◽  
Mohammad A. Masnadi-Shirazi ◽  
Zohreh Azimifar
Keyword(s):  
Texture Segmentation ◽  
Contourlet Transform ◽  
Image Texture ◽  
Nonsubsampled Contourlet Transform

Nonsubsampled contourlet transform-based conditional random field for SAR images segmentation

2020 ◽  
Vol 174 ◽  
pp. 107623 ◽  
Author(s):  
Maryam Golpardaz ◽  
Mohammad Sadegh Helfroush ◽  
Habibollah Danyali
Keyword(s):  
Random Field ◽  
Conditional Random Field ◽  
Contourlet Transform ◽  
Nonsubsampled Contourlet Transform ◽  
Sar Images

A Novel Blind Watermark Extraction Algorithm Based on Nonsubsampled Contourlet Transform

2014 ◽  
Vol 989-994 ◽  
pp. 1901-1904
Author(s):  
Lei Feng ◽  
Xiao Fei Shi ◽  
Hong Yu Chen ◽  
Yan Hua Li ◽  
Yue Long Zhang
Keyword(s):  
Prior Knowledge ◽  
Blind Source Separation ◽  
Extraction Method ◽  
Low Frequency ◽  
Contourlet Transform ◽  
Nonsubsampled Contourlet Transform ◽  
Independent Components ◽  
Extraction Algorithm ◽  
Blind Extraction ◽  
Ica Algorithm

Most existing watermark extraction algorithms were dependent on prior knowledge. This paper proposed a blind extraction method without relying on prior knowledge. According to constructing new observation based on nonsubsampled contourlet transform, which utilizes low frequency and directional components of watermarked image, more independent components are generated. We involve these components into watermarked image and resort this solution to multichannel blind source separation. Estimated watermark is recovered by ICA algorithm. Experiment results indicate that the proposed method can achieve better results in contrast with two existing algorithms.

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