IRIS IMAGE ANALYSIS AND RECONSTRUCTION BASED ON ZERO-CROSSING WAVELET TRANSFORM

2003 ◽  
Author(s):  
YUANNING LIU ◽  
ZHIHUI LI ◽  
SENMIAO YUAN ◽  
TAO XU
Keyword(s):  
Image Analysis ◽  
Wavelet Transform ◽  
Zero Crossing ◽  
Iris Image

scholarly journals Image analysis of the tree test using wavelet transform, singular value decomposition, and Fourier transform

2019 ◽  
Vol 90 (3) ◽  
pp. 284-293
Author(s):  
Keita Kawasugi ◽  
Kazuhisa Takemura ◽  
Yumi Iwamitsu ◽  
Hitomi Sugawara ◽  
Sakura Nishizawa ◽  
...  
Keyword(s):  
Image Analysis ◽  
Fourier Transform ◽  
Wavelet Transform ◽  
Singular Value Decomposition ◽  
Singular Value ◽  
Value Decomposition

scholarly journals WDFB Digital Watermarking Method Based on Multiscale Geometrie Analysis

2012 ◽  
Vol 6-7 ◽  
pp. 1145-1149
Author(s):  
Gui Ming Shao ◽  
Zhi Hua Hu
Keyword(s):  
Image Analysis ◽  
Wavelet Transform ◽  
Digital Watermarking ◽  
Median Filtering ◽  
Watermark Image ◽  
Original Image ◽  
Analysis Method ◽  
Image Analysis Method ◽  
Strong Robustness ◽  
The One

Combined with the human visual system and proposes a digital watermarking algorithm based WDFB domain. The algorithm is not the original image and watermark image WDFB coefficient directly superimposed, but the original image WDFB coefficient after pretreatment by the addition criteria to implement the embedded watermark. The experimental results show that the algorithm has strong robustness to shear, median filtering, noise and JPEG compression attacks. WDFB transform a new image analysis method is proposed for the lack of wavelet transform, but the watermarking method that there exist inadequacies; on the one hand, the need to use the original extract the watermark image should be along the zero-watermark the direction of the watermarking algorithm improvements.

scholarly journals Multicomponent Quantitative Resolution of Binary Mixtures by Using Continuous Wavelet Transform

2004 ◽  
Vol 87 (2) ◽  
pp. 360-365 ◽  
Author(s):  
Erdal Dinç ◽  
Dumitru Baleanu
Keyword(s):  
Wavelet Transform ◽  
Signal Amplitude ◽  
High Signal ◽  
Thiamine Hydrochloride ◽  
Continuous Wavelet ◽  
Multicomponent Mixtures ◽  
Zero Crossing ◽  
Liquid Chromatographic ◽  
Absorbance Data ◽  
Good Agreement

Abstract Continuous 1-dimensional wavelet transform (WT) was applied to the quantitative analysis of a vitamin combination of thiamine hydrochloride (THI) and pyridoxine hydrochloride (PYR) with strongly overlapping signals. Absorbance data from the UV-Vis absorption spectrum of width 1150 were subjected to Gauss1 and Gauss2 WTs. Because of its flexibility, data processing, and its high signal amplitude, the continuous WT method is a powerful tool for analysis of multicomponent mixtures. By measuring the amplitude signals corresponding to the selected zero-crossing points of the transformed signal, we obtained the calibration curve. The validation of the calibration graphs was confirmed with different mixtures of THI and PYR at various concentration ratios. A brief explanation of the continuous wavelet method is given. MATLAB 6.5 software was used to perform the calculations. The results of our study were compared with those obtained by spectroscopic, chemometric, and liquid chromatographic methods, and good agreement was found.

Medical image analysis using wavelet transform and deep belief networks

2017 ◽  
Vol 86 ◽  
pp. 190-198 ◽  
Author(s):  
Amin Khatami ◽  
Abbas Khosravi ◽  
Thanh Nguyen ◽  
Chee Peng Lim ◽  
Saeid Nahavandi
Keyword(s):  
Image Analysis ◽  
Wavelet Transform ◽  
Medical Image ◽  
Medical Image Analysis ◽  
Belief Networks ◽  
Deep Belief Networks
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