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Analytic Beta-Wavelet Transform-Based Digital Image Watermarking for Secure Transmission

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Computers, Materials & Continua 2022年第3期70卷 4657-4673页

作者： Hesham Alhumyani Ibrahim Alrube Sameer Alsharif Ashraf Afifi Chokri Ben Amar Hala S.El-Sayed Osama S.Faragallah Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityP.O.11099Taif21944Saudi Arabia Department of Electrical Engineering Faculty of EngineeringMenoufia UniversityShebin El-Kom32511Egypt Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.11099Taif21944Saudi Arabia

The rapid development in the information technology field has introduced digital watermark technologies as a solution to prevent unauthorized copying and redistribution of *** article introduces a self-embedded image verification and integrity *** images are firstly split into dedicated segments of the same block ***,different Analytic Beta-Wavelet(ABW)orthogonal filters are utilized for embedding a self-segment watermark for image segment using a predefined *** orthogonal filter coefficients are estimated to improve image reconstruction under different block *** conduct a comparative study comparing the watermarked images using three kinds of ABW filters for block sizes 64×64,128×128,and 256×*** embed the watermark using the ABW-based image watermarking method in the 2-level middle frequency sub-bands of the ABW digital image *** imperceptibility and robustness of the ABW-based image watermarking method image is evaluated based on the Peak Signal to Noise Ratio(PSNR)and Correlation coefficient *** the implementation results,we came to know that this ABW-based image watermarking method can withstand many image manipulations compared to other existing methods.

关键词： Watermarking ABW median filtering JPEG compression PSNR

Optimal Deep Learning Based Inception Model for Cervical Cancer Diagnosis

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Computers, Materials & Continua 2022年第7期72卷 57-71页

作者： Tamer AbuKhalil Bassam A.Y.Alqaralleh Ahmad H.Al-Omari Computer Science Department Faculty of Information TechnologyAl Hussein bin Talal UniversityMa’an71111Jordan MIS Department College of Business AdministrationUniversity of Business and TechnologyJeddah21448Saudi Arabia Faculty of Science Computer Science DepartmentNorthern Border UniversityArar91431Saudi Arabia

Prevention of cervical cancer becomes essential and is carried out by the use of Pap smear *** smear test analysis is laborious and tiresome work performed visually using a ***,automated cervical cancer diagnosis using automated methods are *** paper designs an optimal deep learning based Inception model for cervical cancer diagnosis(ODLIM-CCD)using pap smear *** proposed ODLIM-CCD technique incorporates median filtering(MF)based pre-processing to discard the noise and Otsu model based segmentation ***,deep convolutional neural network(DCNN)based Inception with Residual Network(ResNet)v2 model is utilized for deriving the feature ***,swallow swarm optimization(SSO)based hyperparameter tuning process is carried out for the optimal selection of ***,recurrent neural network(RNN)based classification process is done to determine the presence of cervical cancer or *** order to showcase the improved diagnostic performance of the ODLIM-CCD technique,a series of simulations occur on benchmark test images and the outcomes highlighted the improved performance over the recent approaches with a superior accuracy of 0.9661.

关键词： median filtering convolutional neural network pap smear cervical cancer

A system and analytical method for testing the electrical parameters of soil

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Transportation Safety and Environment 2021年第1期3卷 57-71页

作者： Yue Han Ailan Che Shaokong Feng School of Naval Architecture Ocean and Civil EngineeringShanghai Jiao Tong University800 Dongchuan RoadShanghai200030China

The electrical parameters of the rock and soil are closely related to the physical *** measuring the resistivity and polarizability of rock and soil reasonably,information on physical parameters such as moisture content,pore ratio and compaction degree can be obtained.A system for testing the electrical parameters of soil samples based on the middle step quadrupole method is developed in this *** system uses a series of copper needles as the electrodes of the soil-mounted test tube,and uses a multi-point multi-layer test method for layered data acquisition,which can solve the problems caused by the capacitance phenomenon and the heterogeneity of the soil *** the same time,factors affecting the test results,such as uneven soil preparation and water addition and electrode disturbance,are regarded as noise.A data-analysis method based on median filtering is proposed to process and analyse the test results,and the relationships between resistivity,polarizability,moisture content and compaction degree of the sample are *** results show that the resistivity decreases nonlinearly as moisture content increases,and the correlation with compaction is not strong;the polarizability increases as moisture content increases with fluctuation,and it first increases and then decreases with an increase in compaction.

关键词： testing system for electrical parameters median filtering electrical resistivity polarizability moisture content compaction degree

Path Recognition Algorithm of Tracking Robots Based on Image Sensor

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Journal of Donghua University(English Edition) 2014年第2期31卷 137-140页

作者：韩华曹志强胡一帆方易圆黄镇 College of Electronic and Electrical Engineering Shanghai University of Engineering Science Shandong Computer Science Center Shandong Provincial Key Laboratory of Computer Network

Path recognition is an inevitable core technology in the development of tracking robot. In this paper,the path tracking system of tracking robot can be realized by image sensor module based on camera to obtain lane image information,and then extract the path through visual servo. The whole system can be divided into seven modules: micro control unit( MCU) processor module,image acquisition module,debugging module,motor drive module,servo drive module,speed sensor module,and voltage conversion *** image pre-processing part,there is an introduction of binarization processing and the median filtering to strengthen the image information. About recognition algorithm,three key variables which are changed in the movement state are discussed and there are also many auxiliary algorithms that help to improve the path *** experiment can verify that the whole system can accurately abstract the black guide lines from the white track and make the robot moving fast and stable by following the road parameters and conditions.

关键词： complementary metal oxide semiconductor(CMOS) tracking robots path recognition binarization median filtering

Study on the Image De-noising Algorithm of Adaptive Threshold based on Wavelet Transform in the Unclear Radiation Environment

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Study on the Image De-noising Algorithm of Adaptive Threshol...

第24届中国控制与决策会议

作者： Mao-song Lin, Gang Xie School of Information Engineering, Southwest University of Science and Technology, Mianyang, 621010

In order to get a better image in the nuclear radiation environment, this paper presents an adaptive threshold image de-nosing algorithm based on the concept of wavelet multi-resolution. First of all, remove the big isolated points by median filtering in the image;achieve the multi-resolution analysis by lifting wavelet transform;then obtain the threshold value of the wavelet coefficients by the Bayesian Shrink adaptive algorithm;finally recover the image by the inverse lifting wavelet transform. As a result of multi-resolution adaptive threshold method, the non-stationary characteristics of the signal can be described quite well, and remove the noise according to the distribution of the signal and noise at different resolutions. The experimental results show that this method can get a better de-nosing effect in the nuclear radiation environment.

关键词： median filtering wavelet de-nosing lifting wavelet transform wavelet threshold

Feature Matching Algorithm Based on SURF and Lowes Algorithm

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Feature Matching Algorithm Based on SURF and Lowes Algorithm

第三十九届中国控制会议

作者： Xiaoqi Wang Weihua Cao Chaolong Yao Hang Yin School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Feature extraction and matching of images is a key step in 3D reconstruction, and its accuracy directly affects the accuracy of 3D reconstruction. In this paper, aiming at the mismatch caused by the high similarity between screws, proposes a feature matching algorithm based on median filtering, Lowes algorithm and scale-invariant feature transform（SURF）, called M-L-SURF algorithm. First, the median filtering is performed on the screw image to remove noise, then the SURF algorithm is used for feature extraction and matching, and finally, the Lowe’s algorithm is used to filter the matching results. The results of experiments show that the M-L-SURF algorithm can achieve a 97.4% correct rate of screw image matching. The matching results obtained in this paper can be better applied to the subsequent work of 3D reconstruction.

关键词： median filtering SURF Feature matching Lowes algorithm

Sub-pixel Water-Sky-Line DetectionBased on a Curve Fitting Method

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Sub-pixel Water-Sky-Line DetectionBased on a Curve Fitting M...

第四届中国卫星导航学术年会

作者： Li Linyang Li Chonghui Zheng Yong Zhang Chao Zhengzhou institute of surveying and mapping

Celestial navigation is one essential means of the marine autonomous navigation, through taking photos of the Water-Sky-Line, natural horizontal plane can be provided for celestial navigation system, and the precision of Water-Sky-Linedetection influences the precision of positioning. Traditional edge detection algorithms can only achieve pixel precision, as for more precise position of the Water-Sky-Line, those algorithms can’t achieve. In order to achieve sub-pixel detection, first two processes on the original image are needed, including median filtering and resample, then the pixel sketch coordinates are detected by Kirsch operator, finally an algorithm based on a curve fitting method is introduced, and sub-pixel coordinates are detected. According to experimental analyses, it is effective to half of the pixels;after eliminating outliers, the precision is about 0.5 pixels.

关键词： Water-Sky-Line sub-pixel resample median filtering the least square adjustment curve fitting

Fastener region location method based on gray-scale mutation

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Journal of Measurement Science and Instrumentation 2021年第1期12卷 98-106页

作者： LV Banghuan MIN Yongzhi HUO Hongtao School of Automation and Electrical Engineering Lanzhou Jiaotong University Lanzhou 730070 China

Rail fastener positioning method has high requirements for image quality and positioning ***,a rail fastener positioning method based on gray mutation is ***,the image is denoised by an improved median ***,according to the characteristics of image frequency domain,the image is decomposed by wavelet transfrom to extract low-frequency component,and the low-frequency component is filtered and processed by gamma transformation to reduce the influence of natural environment factors on image *** that,according to the change rule of gray-scale values of different regions in the image,the gray-scale mutation in column and line directions of the image is statistically analyzed,and then the rail surface and the sleeper are ***,the fastener area is accurately located by using the position relationship of the rail surface,the sleeper and the fastener in the *** experimental results show that the positioning accuracy of the proposed method is 93.19%,which can quickly and effectively locate the fastener region,and has strong environmental adaptability,robustness and practicability.

关键词： fastener positioning gray-scale mutation median filtering gamma transformation wavelet decomposition mutation statistics

Research on Denoising Algorithm for ECG Signals

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Research on Denoising Algorithm for ECG Signals

第二十九届中国控制会议

作者： WANG Jie-Sheng,ZHANG Yong,ZHANG Ping,SUN Shi-Feng School of Electronic and Information Engineering,Liaoning University of Science&Technology y,Anshan,114044,P.R.China

In the course of collecting ECG signal data,electromyography interference,baseline drift and 50Hz power line interference will be introduced inevitably,which often makes it difficult to identify the characteristics of ECG signals to some degree by using conventional identification *** filter,a nonlinear signal filter with simple operation and high speed,is used to remove the low-frequencies noises in Electrocardiogram signals,such as baseline *** the dyadic wavelet of WTS is a set of band-pass filters having different frequency bands in every scale,the wavelet transformation was selected to decompose the original *** interference-eliminated ECG signal was formed by reconstruction from the changed coefficients of wavelet.A simulation experiment is adopted to make it sure how to determine the self-adaptive threshold selections,the proper decomposition order and wavelet *** method was tested by using both ECG signals from MIT/BIH database and ECG signals generated via computer *** results show that the algorithm can suppress the main noises existing in ECG signals efficiently and can satisfy the requirements of clinical analysis and diagnosis on ECG waveforms.

关键词： ECG Signals median filtering Wavelet Transformation Denoising Algorithm