Digital image steganalysis based on the reciprocal singular value curve

2016 ◽  
Vol 76 (6) ◽  
pp. 8745-8756 ◽  
Author(s):  
Roya Nouri ◽  
Azadeh Mansouri
Keyword(s):  
Digital Image ◽  
Singular Value ◽  
Image Steganalysis

scholarly journals Detection of Surface Defects on Steel Strips Based on Singular Value Decomposition of Digital Image

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Qianlai Sun ◽  
Jianghui Cai ◽  
Zhiyi Sun
Keyword(s):  
Image Segmentation ◽  
Singular Value Decomposition ◽  
Digital Image ◽  
Manufacturing Industry ◽  
Surface Defects ◽  
Sudden Change ◽  
Singular Value ◽  
Steel Strips ◽  
Novel Method ◽  
Value Decomposition

Image segmentation technology has been widely used to detect the surface defects in metal industries effectively. In some fields of the manufacturing industry, the determination of defects is more concerned than the accurate location and shape of defects. However, most of current image segmentation algorithms are complex or have difficulty determining the defect. This paper presents a novel method for determining and roughly locating the surface defects of steel strips based on Singular Value Decomposition. The method has no need of image segmentation. The gray level matrix of a digital image is projected on its singular vectors obtained by Singular Value Decomposition. A defect is reflected as a sudden change on the projections. Therefore, the defects can be determined and roughly located according to the sudden changes. The experimental results suggest that this method is valid and convenient for determining the surface defects directly.

Application Of Singular Value Decomposition To Digital Image Processing

1990 ◽  
Author(s):  
Methodi Kovatchev ◽  
Evgeni Mitev ◽  
Rumiana Nedkova ◽  
Methodi Kovatchev ◽  
Evgeni Mitev ◽  
...  
Keyword(s):  
Image Processing ◽  
Singular Value Decomposition ◽  
Digital Image Processing ◽  
Digital Image ◽  
Singular Value ◽  
Value Decomposition

scholarly journals Digital image steganalysis based on local textural features and double dimensionality reduction

2014 ◽  
Vol 9 (8) ◽  
pp. 729-736 ◽  
Author(s):  
Fengyong Li ◽  
Xinpeng Zhang ◽  
Hang Cheng ◽  
Jiang Yu
Keyword(s):  
Dimensionality Reduction ◽  
Digital Image ◽  
Textural Features ◽  
Image Steganalysis
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