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Effect of Direct Statistical Contrast Enhancement Technique on Document Image Binarization

Computers, Materials & Continua 2022年第2期70卷 3549-3564页

作者： wan azani.mustafa Haniza Yazid Ahmed Alkhayyat Mohd Aminudin Jamlos Hasliza A.Rahim Advanced Computing(AdvCOMP) Centre of ExcellenceUniversiti Malaysia Perlis(UniMAP)Pauh Putra CampusArau02600PerlisMalaysia Faculty of Electrical Engineering Technology Universiti Malaysia Perlis(UniMAP)Pauh Putra CampusArau02600PerlisMalaysia Faculty of Electronic Engineering Technology Universiti Malaysia Perlis(UniMAP)Pauh Putra CampusArau02600PerlisMalaysia Faculty of Engineering The Islamic UniversityNajaf54001Iraq

Background:Contrast enhancement plays an important role in the image processing *** correction has performed an adjustment on the darkness or brightness of the input image and increases the quality of the ***:This paper proposed a novel method based on statistical data from the local mean and local standard ***:The proposed method modifies the mean and standard deviation of a neighbourhood at each pixel and divides it into three categories:background,foreground,and problematic(contrast&luminosity)*** results from both visual and objective aspects show that the proposed method can normalize the contrast variation problem effectively compared to Histogram Equalization(HE),Difference of Gaussian(DoG),and Butterworth Homomorphic Filtering(BHF).Seven(7)types of binarization methods were tested on the corrected image and produced a positive and impressive ***:Finally,a comparison in terms of Signal Noise Ratio(SNR),Misclassification Error(ME),F-measure,Peak Signal Noise Ratio(PSNR),Misclassification Penalty Metric(MPM),and Accuracy was *** binarization method shows an incremented result after applying it onto the corrected image compared to the original *** SNR result of our proposed image is 9.350 higher than the three(3)other *** average increment after five(5)types of evaluation are:(Otsu=41.64%,Local Adaptive=7.05%,Niblack=30.28%,Bernsen=25%,Bradley=3.54%,Nick=1.59%,Gradient-Based=14.6%).Conclusion:The results presented in this paper effectively solve the contrast problem and finally produce better quality images.

关键词： Binarization contrast luminosity illumination document image

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Cervical cancer situation in Malaysia:A systematic literature review

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BIOCELL 2022年第2期46卷 367-381页

作者： wan azani.mustafa AFIQAH HALIM MOHD WAFI NASRUDIN KHAIRUL SHAKIR AB RAHMAN Advanced Computing Engineering(AdvComp) Centre of Excellence(CoE)Universiti Malaysia Perlis(UniMAP)Pauh Putra CampusArauPerlis02600Malaysia Faculty of Electrical Engineering Technology UniCITI Alam CampusUniversiti Malaysia PerlisPadang BesarPerlis02100Malaysia Department of Pathology Hospital Tuanku FauziahKangarPerlis02000Malaysia

Cervix cancer is one of Malaysia’s most significant cancers for women(around 12.9%,with an age-standardised incidence rate of 19.7 per 100,000).It was higher than other Asian,West,and even worldwide *** National Strategic Plan for Cancer Control Program 2016–2020(Health Ministry)was presented to minimize cancer and *** high incidence of cervical cancer in Malaysia is mainly due to women’s insufficient knowledge about its prevention and *** with traditional literature reviews,the systemic analysis provides many advantages.A clearer review process,a more prominent field of study,and essential priorities that can manage research bias can all help to enhance these ***,better integration,cooperation,and coordination between government and private sector as well as NGOs and professional organisations are essential for optimal cancer control and treatment across the country.

关键词： Cervical Cancer Malaysia Review SLR

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Contrast Correction Using Hybrid Statistical Enhancement on Weld Defect Images

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Computers, Materials & Continua 2022年第6期71卷 5327-5342页

作者： wan azani.mustafa Haniza Yazid Ahmed Alkhayyat Mohd Aminudin Jamlos Hasliza ARahim Midhat Nabil Salimi Advanced Computing(AdvCOMP) Centre of ExcellenceUniversiti Malaysia Perlis(UniMAP)Pauh Putra CampusArau02600PerlisMalaysia Faculty of Electrical Engineering Technology Universiti Malaysia Perlis(UniMAP)Pauh Putra CampusArau02600PerlisMalaysia Faculty of Electronic Engineering Technology Universiti Malaysia Perlis(UniMAP)Pauh Putra CampusArau02600PerlisMalaysia Faculty of Engineering the Islamic University54001NajafIraq Faculty of Chemical Engineering Technology Universiti Malaysia Perlis(UniMAP)Arau02600PerlisMalaysia

Luminosity and contrast variation problems are among the most challenging tasks in the image processing field,significantly improving image *** is implemented by adjusting the dark or bright intensity to improve the quality of the images and increase the segmentation ***,numerous methods had been proposed to normalise the luminosity and contrast variation.A new approach based on a direct technique using statistical data known as Hybrid Statistical Enhancement(HSE)is presented in this *** method uses themean and standard deviation of a local and global neighbourhood and classified the pixel into three groups;the foreground,border,and problematic region(contrast&luminosity).The datasets,namely weld defect images,were utilised to demonstrate the effectiveness of the HSE *** results from the visual and objective aspects showed that the HSE method could normalise the luminosity and enhance the contrast variation problem *** proposed method was compared to the two(2)populor enhancement methods which is Homomorphic Filter(HF)and Difference of Gaussian(DoG).To prove the HSE effectiveness,a few image quality assessments were presented,and the results were *** HSE method achieved a better result compared to the other methods,which are Signal Noise Ratio(8.920),Standard Deviation(18.588)and Absolute Mean Brightness Error(9.356).In conclusion,implementing the HSE method has produced an effective and efficient result for background correction and quality images improvement.

关键词： Contrast enhancement image statistic weld defect

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Zero-Index Metamaterial Superstrates UWB Antenna for Microwave Imaging Detection

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计算机、材料和连续体（英文） 2023年第4期75卷 277-292页

作者： Mohd Aminudin Jamlos Nur Amirah Othman wan azani.mustafa Mohd Faizal Jamlos Mohamad Nur Khairul Hafizi Rohani Faculty of Electronic Engineering Technology Universiti Malaysia PerlisPauh Putra Campus02600ArauMalaysia Faculty of Electrical Engineering Technology Universiti Malaysia PerlisPauh Putra Campus02600ArauMalaysia Faculty of Mechanical and Manufacturing Engineering Universiti Malaysia Pahang26600PekanMalaysia

Metamaterials(MTM)can enhance the properties of microwaves and also exceed some limitations of devices used in technical *** that the antenna is the element for realizing a microwave imaging(MWI)system since it is where signal transmission and absorption ***-Wideband(UWB)antenna superstrates with MTM elements to ensure the signal transmitted from the antenna reaches the tumor and is absorbed by the same *** lack of conventional head imaging techniques,for instance,Magnetic Resonance Imaging(MRI)and Computerized Tomography(CT)-scan,has been demonstrated in the paper focusing on the point of failure of these techniques for prompt diagnosis and portable ***,the importance ofMWIhas been addressed elaborately to portray its effectiveness and aptness for a primary tumor *** than that,MTM element designs have been discussed thoroughly based on their performances towards the contributions to the better image resolution of MWI with detailed *** paper proposes the novel design of a Zeroindex Split RingResonator(SRR)MTMelement superstrate with a UWB antenna implemented in MWI systems for detecting *** novel design of the MTM enables the realization of a high gain of a superstrate UWB antenna with the highest gain of 5.70 *** that,the MTM imitates the conduct of the zeroreflection phase on the resonance frequency,which does not *** antenna with an MTM unit is of a 7×4 and 10×5 Zero-index SRR MTM element that acts as a superstrate plane to the *** from that,Rogers(RT5880)substrate material is employed to fabricate the designed MTM unit cell,with the following characteristics:0.51mm thickness,the loss tangent of 0.02,as well as the relative permittivity of 2.2,with Computer Simulation Technology(CST)performing the simulation and *** MTM unit cells of 7×4 and 10×5 attained 0°with respect to the reflection phase at the 2.70 GHz frequency *** first design,MTM Antenna Design 1,c

关键词： Zero-index metamaterial(ZIM) ultra-wideband(UWB) microwave imaging(MWI)detection

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Cervical Cancer Classification Using Combined Machine Learning and Deep Learning Approach

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Computers, Materials & Continua 2022年第9期72卷 5117-5134页

作者： Hiam Alquran wan azani.mustafa Isam Abu Qasmieh Yasmeen Mohd Yacob Mohammed Alsalatie Yazan Al-Issa Ali Mohammad Alqudah Department of Biomedical Engineering Jordan University of Science and TechnologyIrbid22110Jordan Department of Biomedical Systems and Informatics Engineering Yarmouk University 556Irbid21163Jordan Faculty of Electrical Engineering Technology Campus Pauh PutraUniversiti Malaysia Perlis02000ArauPerlisMalaysia Advanced Computing Centre of Excellence(CoE)Universiti Malaysia Perlis(UniMAP)02000ArauPerlisMalaysia The Institute of Biomedical Technology King Hussein Medical CenterRoyal Jordanian Medical ServiceAmman11855Jordan Department of Computer Engineering Yarmouk UniversityIrbid21163Jordan

Cervical cancer is screened by pap smear methodology for detection and classification *** smear images of the cervical region are employed to detect and classify the abnormality of cervical *** this paper,we proposed the first system that it ables to classify the pap smear images into a seven classes *** smear images are exploited to design a computer-aided diagnoses system to classify the abnormality in cervical images *** features that have been extracted using ResNet101 are employed to discriminate seven classes of images in Support Vector Machine(SVM)*** success of this proposed system in distinguishing between the levels of normal cases with 100%accuracy and 100%*** top of that,it can distinguish between normal and abnormal cases with an accuracy of 100%.The high level of abnormality is then studied and classified with a high *** the other hand,the low level of abnormality is studied separately and classified into two classes,mild and moderate dysplasia,with∼92%*** proposed system is a built-in cascading manner with five models of polynomial(SVM)*** overall accuracy in training for all cases is 100%,while the overall test for all seven classes is around 92%in the test phase and overall accuracy reaches 97.3%.The proposed system facilitates the process of detection and classification of cervical cells in pap smear images and leads to early diagnosis of cervical cancer,which may lead to an increase in the survival rate in women.

关键词： Classification deep learning machine learning pap smear images resnet101 support vector machines

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Improvement method for cervical cancer detection: A comparative analysis

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Oncology Research 2021年第5期29卷 365-376页

作者： NUR AIN ALIAS wan azani.mustafa MOHD AMINUDIN JAMLOS AHMED ALKHAYYAT KHAIRUL SHAKIR AB RAHMAN RAMI QMALIK Faculty of Electrical Engineering&Technology Universiti Malaysia PerlisUniCITI Alam CampusSungai ChuchuhPadang BesarPerlis02100Malaysia Advanced Computing(AdvCOMP) Centre of ExcellenceUniversiti Malaysia Perlis(UniMAP)Pauh Putra CampusArauPerlis02600Malaysia Faculty of Electronic Engineering&Technology Universiti Malaysia PerlisUniCITI Alam CampusSungai ChuchuhPadang BesarPerlis02100Malaysia Department of Computer Technical Engineering College of Technical EngineeringThe Islamic UniversityNajaf54003Iraq Department of Pathology Hospital Tuanku FauziahKangarPerlis02000Malaysia Medical Instrumentation Techniques Engineering Department Al-Mustaqbal University CollegeBabylonHillah51001Iraq

Cervical cancer is a prevalent and deadly cancer that affects women all over the *** affects about 0.5 million women anually and results in over 0.3 million *** of this cancer was previously done manually,which could result in false positives or *** researchers are still contemplating how to detect cervical cancer automatically and how to evaluate Pap smear ***,this paper has reviewed several detection methods from the previous researches that has been done *** paper reviews pre-processing,detection method framework for nucleus detection,and analysis performance of the method *** are four methods based on a reviewed technique from previous studies that have been running through the experimental procedure using Matlab,and the dataset used is established Herlev *** results show that the highest performance assessment metric values obtain from Method 1:Thresholding and Trace region boundaries in a binary image with the values of precision 1.0,sensitivity 98.77%,speciﬁcity 98.76%,accuracy 98.77%and PSNR 25.74%for a single type of ***,the average values of precision were 0.99,sensitivity 90.71%,speciﬁcity 96.55%,accuracy 92.91%and PSNR 16.22%.The experimental results are then compared to the existing methods from previous *** show that the improvement method is able to detect the nucleus of the cell with higher performance assessment *** the other hand,the majority of current approaches can be used with either a single or a large number of cervical cancer smear *** study might persuade other researchers to recognize the value of some of the existing detection techniques and offer a strong approach for developing and implementing new solutions.

关键词： Cervical cancer Detection Pap smear Images

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Liver Tumor Decision Support System on Human Magnetic Resonance Images:A Comparative Study

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Computer Systems Science & Engineering 2023年第8期46卷 1653-1671页

作者： Hiam Alquran Yazan Al-Issa Mohammed Alslatie Isam Abu-Qasmieh Amin Alqudah wan azani.mustafa Yasmin Mohd Yacob Department of Biomedical Systems and Informatics Engineering Yarmouk University 556Irbid21163Jordan Department of Biomedical Engineering Jordan University of Science and TechnologyIrbid22110Jordan Department of Computer Engineering Yarmouk University 556Irbid21163Jordan The of Biomedical Technology King Hussein Medical CenterRoyal Jordanian Medical ServiceAmman11855Jordan Faculty of Electrical Engineering&Technology Campus Pauh PutraUniversiti Malaysia PerlisArau02600PerlisMalaysia Faculty of Electronic Engineering&Technology Campus Pauh PutraUniversiti Malaysia PerlisArau02600PerlisMalaysia Advanced Computing Centre of Excellence(CoE)Universiti Malaysia PerlisArau02600PerlisMalaysia

Liver cancer is the second leading cause of cancer death *** tumor detection may help identify suitable treatment and increase the survival *** imaging is a non-invasive tool that can help uncover abnormalities in human *** Resonance Imaging(MRI),in particular,uses magnetic fields and radio waves to differentiate internal human organs ***,the interpretation of medical images requires the subjective expertise of a radiologist and ***,building an automated diagnosis computer-based system can help specialists reduce incorrect *** paper proposes a hybrid automated system to compare the performance of 3D features and 2D features in classifying magnetic resonance liver tumor *** paper proposed two models;the first one employed the 3D features while the second exploited the 2D *** first system uses 3D texture attributes,3D shape features,and 3D graphical deep descriptors beside an ensemble classifier to differentiate between four 3D tumor *** top of that,the proposed method is applied to 2D slices for comparison *** proposed approach attained 100%accuracy in discriminating between all types of tumors,100%Area Under the Curve(AUC),100%sensitivity,and 100%specificity and precision as well in 3D liver *** the other hand,the performance is lower in 2D *** maximum accuracy reached 96.4%for two classes and 92.1%for four *** top-class performance of the proposed system can be attributed to the exploitation of various types of feature selection methods besides utilizing the ReliefF features selection technique to choose the most relevant features associated with different *** novelty of this work appeared in building a highly accurate system under specific circumstances without any processing for the images and human input,besides comparing the performance between 2D and 3D *** the future,the presented work can be extended to be

关键词： Liver tumors ensemble classifier 3D shape features 3D cooccurrence matrix ResNet101

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A Hybrid Modified Sine Cosine Algorithm Using Inverse Filtering and Clipping Methods for Low Autocorrelation Binary Sequences

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Computers, Materials & Continua 2022年第5期71卷 3533-3556页

作者： Siti Julia Rosli Hasliza A Rahim Khairul Najmy Abdul Rani Ruzelita Ngadiran wan azani.mustafa Muzammil Jusoh Mohd Najib Mohd Yasin Thennarasan Sabapathy Mohamedfareq Abdulmalek wan Suryani Firuz wan Ariffin Ahmed Alkhayyat Advanced Communication Engineering Centre of Excellence(ACE)Universiti Malaysia Perlis(UniMAP)01000 KangarPerlisMalaysia Faculty of Electronic Engineering Technology Universiti Malaysia Perlis(UniMAP)02600 ArauPerlisMalaysia Advanced Computing(AdvCOMP) Centre of ExcellenceUniversiti Malaysia Perlis(UniMAP)02600 ArauPerlisMalaysia Faculty of Electrical Engineering Technology Universiti Malaysia Perlis(UniMAP)02600 ArauPerlisMalaysia Faculty of Engineering and Information Science University of Wollongong in DubaiDubai 20183United Arab Emirates Department of Computer Technical Engineering College of Technical Engineeringthe Islamic University54001 NajafIraq

The essential purpose of radar is to detect a target of interest and provide information concerning the target’s location,motion,size,and other *** knowledge about the pulse trains’properties shows that a class of signals is mainly well suited to digital processing of increasing practical importance.A low autocorrelation binary sequence(LABS)is a complex combinatorial *** main problems of LABS are low Merit Factor(MF)and shorter length ***,the maximum possible MF equals 12.3248 as infinity length is unable to be ***,this study implemented two techniques to propose a new metaheuristic algorithm based on Hybrid Modified Sine Cosine Algorithm with Cuckoo Search Algorithm(HMSCACSA)using Inverse Filtering(IF)and clipping method to achieve better *** proposed algorithms,LABS-IF and HMSCACSA-IF,achieved better results with two large MFs equal to 12.12 and 12.6678 for lengths 231 and 237,respectively,where the optimal solutions belong to the skew-symmetric *** MF outperformed up to 24.335%and 2.708%against the state-of-the-art LABS heuristic algorithm,xLastovka,and Golay,*** results indicated that the proposed algorithm’s simulation had quality solutions in terms of fast convergence curve with better optimal means,and standard deviation.

关键词： Merit factor autocorrelation skew-symmetric sequences combinatorial optimization sine cosine algorithm cuckoo search algorithm radar system wearable antenna antenna and propagation

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Electrical Tree Image Segmentation Using Hybrid Multi Scale Line Tracking Algorithm

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Computers, Materials & Continua 2023年第4期75卷 741-760页

作者： Mohd Annuar Isa Mohamad Nur Khairul Hafizi Rohani Baharuddin Ismail Mohamad Kamarol Jamil Muzamir Isa Afifah Shuhada Rosmi Mohd Aminudin Jamlos wan azani.mustafa Nurulbariah Idris Abdullahi Abubakar Mas’ud Faculty of Electrical Engineering&Technology Universiti Malaysia PerlisPerlisMalaysia School of Electrical and Electronic Engineering Universiti Sains MalaysiaPenangMalaysia Faculty of Electronic Engineering&Technology Universiti Malaysia PerlisPerlisMalaysia Department of Electrical and Electronics Engineering Jubail Industrial CollegeSaudi Arabia

Electrical trees are an aging mechanismmost associated with partial discharge(PD)activities in crosslinked polyethylene(XLPE)insulation of high-voltage(HV)*** of electrical tree structures gained considerable attention from researchers since a deep understanding of the tree morphology is required to develop new insulation ***-dimensional(2D)optical microscopy is primarily used to examine tree structures and propagation shapes with image segmentation ***,since electrical trees can emerge in different shapes such as bush-type or branch-type,treeing images are complicated to segment due to manifestation of convoluted tree branches,leading to a high misclassification rate during ***,this study proposed a new method for segmenting 2D electrical tree images based on the multi-scale line tracking algorithm(MSLTA)by integrating batch processing *** proposed method,h-MSLTA aims to provide accurate segmentation of electrical tree images obtained over a period of tree propagation observation under optical *** initial phase involves XLPE sample preparation and treeing image acquisition under real-time microscopy *** treeing images are then sampled and binarized in *** the next phase,segmentation of tree structures is performed using the h-MSLTA by utilizing batch processing in multiple instances of treeing ***,the comparative investigation has been conducted using standard performance assessment metrics,including accuracy,sensitivity,specificity,Dice coefficient and Matthew’s correlation coefficient(MCC).Based on segmentation performance evaluation against several established segmentation methods,h-MSLTA achieved better results of 95.43%accuracy,97.28%specificity,69.43%sensitivity rate with 23.38%and 24.16%average improvement in Dice coefficient and MCC score respectively over the original *** addition,h-MSLTA produced accurate measurement results of glo

关键词： Image segmentation multi-scale line tracking electrical tree partial discharge high-voltage cable

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Highly aligned reduced graphene oxide in alumina composites for strengthening,toughening,and electromagnetic interference shielding

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Journal of Materiomics 2023年第6期9卷 993-1003页

作者： Tufail mustafa Yongping Liu Jie Gao Peng Yan Qi Ding Yuchi Fan wan Jiang State Key Laboratory for Modification of Chemical Fibers and Polymer Materials Institute of Functional MaterialsCollege of Materials Science and EngineeringDonghua UniversityShanghai200050China Department of Chemical Engineering Balochistan University of Information TechnologyEngineering&Management Sciences(BUITEMS)Quetta87300Pakistan

Engineering ceramics with high strength,toughness and electromagnetic interference(EMI)shielding effectiveness(SE)are highly desirable as electromagnetic protecting material in harsh ***,we show that both excellent mechanical and EMI shielding performance can be realized in alumina composites embedded with highly aligned reduced graphene oxide(RGO),which are readily prepared via sintering of core-shell structured RGO@Al_(2)O_(3)nanoplates with *** to monolithic Al_(2)O_(3),the highly aligned RGO/Al_(2)O_(3)composites show simultaneously improved strength and toughness up to~26.1%and~60.2%,*** steeply rising R-curve behavior proves the better crack tolerance in the highly aligned structure with respect to randomly oriented ***,the RGO/Al_(2)O_(3)composites also exhibit a high specific EMI SE reaching~34 dB/mm in K band,due to the reflection and highly enhanced absorption after percolation in the out-of-plane *** findings provide a novel strategy of designing mechanically reliable engineering ceramic for EMI shielding.

关键词： Reduced graphene oxide Ceramic composites Strengthening Toughening Electromagnetic interference shielding

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