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Iza sazanita Isa

Iza sazanita Isa
Centre for Electrical Engineering StudiesUniversiti Teknologi MARA

PhD (Image Processing)

About

89
Publications
26,445
Reads
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418
Citations
Citations since 2016
67 Research Items
353 Citations
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2016201720182019202020212022020406080
2016201720182019202020212022020406080
Additional affiliations
October 2021 - November 2022
Universiti Teknologi MARA
Position
  • Postdoctoral Fellow (School of Computer Science

Publications

Publications (89)
Article
Full-text available
Attaining a generalized porosity measurement based on the conventional measuring methods is unfeasible due to thin and complex layers on Gallium Nitride (GaN) film. Therefore, there is an impetus for developing a method of estimating general fabric porosity via image processing techniques. This study is aimed to investigate and validate a new techn...
Article
Full-text available
p>The widespread of coronavirus disease 2019 (COVID-19) pandemic led to a discovery that open distance learning (ODL) has turned out to be the only choice for teaching and learning by most institution (s) of higher learning (IHLs). In Malaysia, ODL is considered a new approach as physical laboratory practice has always been conducted for laboratory...
Article
Full-text available
Lung cancer is the leading cause of cancer death among people worldwide. The primary aim of this research is to establish an image processing method for lung cancer detection. This paper focuses on lung region segmentation from computed tomography (CT) scan images. In this work, a new procedure for lung region segmentation is proposed. First, the l...
Article
In this study, Titanium dioxide, TiO2 photoelectrodes of dye sensitized solar cells, DSSCs were sensitized with natural blackberry molecule sensitizer, and the role of aluminium sulfate hydrate, Al2(SO4)3. H2O (alum) coagulation agent on the immersion time was successfully investigated. The time for immersions of TiO2 photoelectrodes in the coagula...
Article
Full-text available
This study optimized the latest YOLOv5 framework, including its subset models, with training on different datasets that differed in image contrast and cloudiness to assess model performances based on quantitative metrics and image processing speed. The hyperparameter in the feature-extraction phase was configured based on the learning rate and mome...
Article
Full-text available
Cervical cancer is well known as the third killer for women in Malaysia. The precancerous stage for detection can be determine by screening test, known Pap smear test for avoiding occurrence of cervical cancer. The problem face in the test is the human error in reading the data analysis and also lack number of pathologists to interpret the data ana...
Article
Full-text available
This paper presents an automated detection system to identify the present of dyslexia symptoms in primary school children based on their handwriting images. The proposed automated detection system is developed by using pattern recognition technique. Based on their handwriting images, the pattern recognition system will detect and extract the featur...
Chapter
The segmentation of magnetic resonance imaging (MRI) brain images could be implemented using any technique, either automatic or manual. The different methods commonly show different results because their performance relies on the segmentation precision and accuracy. In this paper, a new image segmentation algorithm is proposed based on k-means and...
Conference Paper
Full-text available
This paper presents a segmentation method which combines watershed transform and an active contour. The implementation of watershed transform on the object commonly produce over-segmentation of homogenous color region while the active contour is effectively produce a smooth segmentation. The pros and cons between these two methods will make the com...
Conference Paper
Full-text available
Classification of WMH severity in MRI image can be considered as post processing stage or an additional procedure after segmentation process. This stage is significant for WMH detection system as it would further help to refine the image information and thus provide better interpretation for an expert analysis. In automated WMH detection and classi...
Conference Paper
Full-text available
K-means algorithm is the most common clustering algorithm being used in medical image processing application. However, the performance of k-means clustering algorithms which converges to numerous local minima would rely on the best initial cluster centers. Generally initial cluster centers are selected randomly and the results are varying on differ...
Presentation
Full-text available
K-means algorithm is the most common clustering algorithm being used in medical image processing application. However, the performance of k-means clustering algorithms which converges to numerous local minima would rely on the best initial cluster centers. Generally initial cluster centers are selected randomly and the results are varying on differ...
Conference Paper
Over the last decade, the sequence of multiecho gradient recalled echo (GRE) T2*-weighted imaging has shown the loss of signal in terms of `black dots' in patients who have spontaneous intra-cerebral hemorrhage (ICH), hypertension, ischaemic stroke and in healthy elderly persons. These `black dots' or cerebral microbleeds are forms of blood breakdo...
Conference Paper
Full-text available
There have been interest on white matter hyperintensity (WMH) and normal white matter (WM) changes reported but have not yet been fully characterized. Different image sequences of magnetic resonance imaging (MRI) scans may shows different gray scale intensity. However, it is difficult to differentiate the intensity of normal WM and WMH as their int...
Article
Full-text available
Medical imaging is the most established technique of visualizing the interior of the human body without the risk of the non-invasive effect. This technology is designed to produce images, and it is also capable of representing information about the screening location. In MRI imaging, the poor image quality particularly the low contrast image may pr...
Presentation
Full-text available
There have been interest on white matter hyperintensity (WMH) and normal white matter (WM) changes reported but have not yet been fully characterized. Different image sequences of magnetic resonance imaging (MRI) scans may shows different gray scale intensity. However, it is difficult to differentiate the intensity of normal WM and WMH as their int...
Presentation
Full-text available
The segmentation of magnetic resonance imaging (MRI) brain images could be implemented using any techniques either automatic or manual. The different method commonly shows different results because its performance relies on the segmentation precision and accuracy. In this paper, a new image segmentation algorithm is proposed based on k-means and AI...
Conference Paper
The development of FES-assisted exercise system is a challenging task due to the dynamic behavior of the muscular skeletal system. This paper presents the design of the cycle to cycle control technique based on the fuzzy logic control (FLC) algorithm for FES-assisted elliptical stepping exercise. The control aims to produce an appropriate FES stimu...
Presentation
Full-text available
Over the last decade, the sequence of multiecho gradient recalled echo (GRE) T2*-weighted imaging has shown the loss of signal in terms of ‘black dots’ in patients who have spontaneous intra-cerebral hemorrhage (ICH), hypertension, ischaemic stroke and in healthy elderly persons. These ‘black dots’ or cerebral microbleeds are forms of blood breakdo...
Conference Paper
This paper proposes a new image enhancement technique known as Average Intensity Replacement based on Adaptive Histogram Equalization (AIR-AHE) for FLAIR image based on intensities and contrast mapping techniques.The proposed algorithm consists of partial contrast stretching, contrast limiting enhancement, window sliding neighborhood operation and...
Presentation
Full-text available
Assessment of white matter hyperintensities severity
Article
Full-text available
The k-means clustering and Otsu-based thresholding of MRI images segmentation are widely used to cluster the lesions in human brain. The main objective of this paper is to employ both algorithms concept to obtain the optimum value of clusters center and threshold levels for a better segmentation process. Both segmentation approaches were used to pa...
Presentation
Full-text available
The white matter hyperintensities (WMH) is commonly associated with various disorders. Several researches prove that WMH is determined to be a strong risk factor for stroke. There are vast amount of researches conducted to observe WMH on T2-weighted imaging (T2-WI) and FLAIR (Fluid-attenuated inversion recovery) sequences. This paper introduces a n...
Presentation
Full-text available
The white matter hyperintensities (WMH) is commonly associated with various disorders. Several researches prove that WMH is determined to be a strong risk factor for stroke. There are vast amount of researches conducted to observe WMH on T2-weighted imaging (T2-WI) and FLAIR (Fluid-attenuated inversion recovery) sequences. This paper introduces a n...
Conference Paper
Random-valued impulse noise (RVIN) is a randomly distributed noise of two significant pixel values that degrades the quality of digital images during acquisition, processing, and storage. It is a variation of the salt-and-pepper or fixed-valued impulse noise (FIN) which instead of the black and white pixel, the noisy pixel value can be anywhere in...
Article
Full-text available
In Magnetic Resonance (MR) images, noise is a common issue which limits the image accuracy of any quantitative measurements. Noise elimination in MRI image pre-processing is an important step to eliminate the noise and to make the image fit for further steps involved in the process of analyzing. However, different types of noises produces ranges of...
Article
Full-text available
In magnetic resonance imaging (MRI) images, noise is a common issue and it is locally signal dependent. Theoretical expectation of noise measured in unfiltered images is found to be normally distributed, spatially invariant and white. Therefore, the noise has to be removed before processing stage. In this work, there are three different filtering a...
Article
Full-text available
Magnetic Resonance Image is one of the technologies used for diagnosing brain cancer. Radiographers use the information obtained from MRI images to diagnose the disease and plan further treatment for the patient. MRI images are always corrupted with noise. Removing noise from images is crucial but it is not an easy task. Filtering algorithm is the...
Conference Paper
Full-text available
This Magnetic resonance imaging (MRI) is a very effective yet non-invasive medical imaging technique for clinical diagnosis and monitoring the abnormalities in neurological disorder. This paper provides a summary of current imaging and processing technique on MRI. Also includes in the review is the clinical features extract from MRI images for neur...
Article
Full-text available
Abstract A current conceptual studies and researches are focusing on rehabilitation of SCI (Spinal Cord Injury) and stroke sufferer by using FES (Functional Electrical Stimulation) induced. The amount of FES induced is depending on level of injury and the muscle since the electrical stimulate is only in μvolt. To have sufficient amount of FES stimu...
Conference Paper
Full-text available
This paper presents a conceptual of EEG analysis and classification of brainwaves signal for alpha and beta signals during Functional Electrical Stimulation, FES-assisted exercise. The characteristics of brainwave signals, data acquisition for electroencephalograph (EEG) signal and data session are identified. This paper also includes the criteria...
Conference Paper
Full-text available
This paper presents a comparison study of two different MLP transfer functions for three different classification cases of breast cancer, thyroid disease and weather classification. The transfer functions under investigation are sigmoid and hyperbolic tangent. In the study, MLP network was trained and tested to investigate the ability of the networ...
Conference Paper
Full-text available
T-way strategy has been known to be effective in generating test data and addressed combinatorial explosion issue. This paper describes the design and development of a non-deterministic t-way strategy, called TTG, with seeding and constraints support. In doing so, a number of experiments are discussed in order to prove the correctness of the implem...
Conference Paper
The purpose of this paper is to study a mathematical formulation of a water level control loop in a process control training system. Mathematical modeling was carried out to understand the dynamics of the water level changes in the water tank for different settings of the PID controller mode. The idea of transfer function was used to represent the...
Conference Paper
Radio frequency (RF) and microwave (MW) radiation are electromagnetic radiation in the frequency ranges 3 kHz - 300 MHz, and 300 MHz - 300 GHz, respectively. While there have been many benefits from the use of RF frequency, people nowadays are concerned that a long-term exposure could affect their body biological system and health. The recent incre...