
Aimi Salihah Abdul NasirUniversiti Malaysia Perlis | unimap · Faculty of Electrical Engineering Technology
Aimi Salihah Abdul Nasir
PhD (Biomedical Electronic Engineering)
About
83
Publications
31,031
Reads
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766
Citations
Citations since 2017
Introduction
Additional affiliations
August 2016 - June 2022
Universiti Malaysia Perlis
Position
- Senior Lecturer
January 2014 - present
Universiti Malaysia Perlis
Position
- Researcher
August 2009 - present
Education
September 2011 - September 2015
Universiti Malaysia Perlis
Field of study
- Biomedical Electronic Engineering
August 2009 - July 2011
Universiti Malaysia Perlis
Field of study
- Biomedical Electronic Engineering
July 2005 - May 2009
Universiti Malaysia Perlis
Field of study
- Mechatronic Engineering
Publications
Publications (83)
Malaria is a pressing medical issue in tropical and subtropical regions. Currently, the manual microscopic examination remains the gold standard malaria diagnosis method. Nevertheless, this procedure required highly skilled lab technicians to prepare and examine the slides. Therefore, a framework encompassing image processing and machine learning i...
The study examines the façade design developments of the high-rise city hotels since the 1960s post-colonial period in Malaysia. Strategically located in the tourist hub of Malaysia’s capital, three case studies of high-rise city hotels built in different architectural periods notably the 1970s Modern, the 1990s Post-Modern and the contemporary Neo...
The present study identifies issues pertaining energy efficiency of high-rise city hotels in Malaysia and aims to examine the thermal performance of high-rise hotels with different façade design configurations. Large hotels in the tropics of Malaysia are found to be energy intensive among commercial building categories. The present study proposes t...
Helminthiasis disease is one of the most serious health problems in the world and frequently occurs in children, especially in unhygienic conditions. The manual diagnosis method is time consuming and challenging, especially when there are a large number of samples. An automated system is acknowledged as a quick and easy technique to assess helminth...
Malaria is a very serious disease that caused by the transmitted of parasites through the bites of infected Anopheles mosquito. Malaria death cases can be reduced and prevented through early diagnosis and prompt treatment. A fast and easy-to-use method, with high performance is required to differentiate malaria from non-malarial fevers. Manual exam...
Harumanis mango is one of the economic sources of the Perlis state. It has a sweeter taste compared to other mangoes. However, the Harumanis mango tree required specific weather, soil nutrient contents and pH level. This makes the farmer does not know the health condition of their Harumanis mango tree. Therefore, this project aims to provide the be...
Harumanis mango is the signature fruit in Perlis due to its delicious taste and its sweet-smelling. A good quality Harumanis tree requires rich in nutrition (healthy), and the tree will grow lots of fruits compared to the trees which are poor in nutrition (unhealthy). The health condition of a tree can be observed through the leaves in term of shap...
COVID19 chest X-ray has been used as supplementary tools to support COVID19 severity level diagnosis. However, there are challenges that required to face by researchers around the world in order to implement these chest X-ray samples to be very helpful to detect the disease. Here, this paper presents a review of COVID19 chest X-ray classification u...
License plate recognition system is functional to identify the vehicle registration number. This system is popular in image processing field. It’s played important role in transportation system, especially for security system. However, variation condition of image acquisition causes the segmentation of license plate difficult to handle. This paper...
Helminth is one of the intestinal parasites that may cause harm and death to human. It is very important to have a system that is capable of assisting the technologist in investigating of fecal samples. In this paper, an automatic classification process is proposed to detect the different types of helminth eggs from fecal samples by using image pro...
Malaria is a plasmodium parasite disease that affects millions of people in the world every year. Hence, early detection tests are needed to prevent the malaria parasites spread throughout the body. For centuries, manual microscopic blood test remains as the most common method that still being used for malaria detection. However, this procedure con...
The uncontrolled development of abnormal white blood cells (blast) in bone marrow is the starting point where leukaemia cancer begins. It does not die like it should. Instead, it goes on dividing and crowding out the healthy blood cells, making it difficult for these healthy bloods to function normally. The diagnosis process from haematologist cons...
Malaria is one of the serious medical issues in the world, with a high frequency of cases in tropical and subtropical regions; further driven by dilapidated living conditions. In 2015, there were approximately 214 million cases of malaria and 438,000 deaths estimated globally, mostly among African children. Malaria develops to become life-threateni...
Eyes are part of an organ in a human which is important for vision especially retinal. Retinal images are used to detect and diagnose many diseases such as diabetes or hypertension. Diabetic retinopathy is the name given to disease of the retina due to diabetes. The eyes have to be examined by an optometrist to detect the lesion. Diabetic retinopat...
Nowadays, colour image segmentation plays important tasks in medical field application such as brain, eyes, glaucoma and so on. This paper aims to compare the performance between different colour constancy of gray world (GW) and white patch (WP) that will be fusion with clustering algorithm to segment the nucleus of blast cells. First, both of the...
Malaria is one of the serious medical issues in the world, with a high frequency of cases in tropical and subtropical regions; further driven by dilapidated living conditions. In 2015, there were approximately 214 million cases of malaria and 438,000 deaths estimated globally, mostly among African children. Malaria develops to become life-threateni...
Malaria is a very serious disease that caused by the transmitted of parasites through the bites of infected Anopheles mosquito. Malaria death cases can be reduced and prevented through early diagnosis and prompt treatment. Currently, microscopy-based diagnosis remains the most widely used approach for malaria diagnosis. The appearance of the infect...
Leukaemia is a blood cancer that contributes to the increase in the world mortality rates per year. Leukaemia can be divided into two major types which are acute and chronic leukaemia. This disease is caused by the excessive production of abnormal white blood cells (WBCs); hence these cells play a major role in the screening and diagnosis of leukae...
In this paper, a biometric human recognition system based on Electrocardiography (ECG) signal is proposed. Three processes i.e., pre-processing, feature extraction and classification is discussed. A combination of enhanced start and end point detection namely short time energy (STE) and short time average zero crossing rate (STAZCR) is employed in...
Gas source localization is an ability which has yet to be successfully implemented in synthetic systems although it is widely exhibited by various organisms. Although single robot implementation has been explored, it is still prone to single point failures and is limited in sporadic gas dispersion conditions. Swarm intelligence based algorithms suc...
Malaria is a serious disease caused by a blood parasite of the genus Plasmodium and becomes a leading cause of death in the world, particularly in Africa and South Asia. In general, the conventional malaria diagnosis based on manual microscopic observation under a light microscope will increase the chance of false detection and delay diagnosis proc...
The k nearest neighbor (kNN) is a non-parametric classifier and has been widely used for pattern classification. However, in practice, the performance of kNN often tends to fail due to the lack of information on how the samples are distributed among them. Moreover, kNN is no longer optimal when the training samples are limited. Another problem obse...
Clustering is one of the most commonly used digital image segmentation technique in multifarious fields including medical image segmentation. In essence, this study proposes clustering algorithm to acquire good segmented images of Plasmodium Vivax malaria parasite species via unsupervised pixel segmentation. In this study, enhanced k-means (EKM) cl...
Malaria continues to be one of the leading causes of death in the world, despite the massive efforts put forth by World Health Organization (WHO) in eradicating it, worldwide. Efficient control and proper treatment of this disease requires early detection and accurate diagnosis due to the large number of cases reported yearly. To achieve this aim,...
Face recognition has attracted significant attention due to its wide range of applications. Recently, researchers have focused on robust face recognition such as face recognition systems invariant to pose, expression and illumination variations. Illumination variation is still a challenging problem in the face recognition research area, especially...
Image quality assessment (IQA) is an objective way to measure the visual quality of an
image, and it plays a crucial role in many image processing techniques. Recently, a lot
of IQAs method was proposed based on their own direction and application. In this
study, a few selected IQAs was reviewed such as Signal to Noise Ratio (SNR), Peak
Signal to N...
Malaria is a serious disease caused by a blood parasite of the genus Plasmodium and become a leading cause of death in the world. In general, the conventional malaria diagnosis based on manual microscopic observation under a light microscope will increase the chance of false detection and late diagnosis. As a result, many researchers have proposed...
Malaria is a global health problem, particularly in Africa and south Asia where it causes countless deaths and morbidity cases. Efficient control and prompt of this disease require early detection and accurate diagnosis due to the large number of cases reported yearly. To achieve this aim, this paper proposes an image segmentation approach via unsu...
There are various types of methods that can be used to recognize and classify the targeted object in the field of pattern
recognition. Thus, this paper presents the classification of characters by combining the features based on Moment Invariant
(MI) and Artificial Neural Network (ANN). The moment invariant is used to extract the feature image base...
Malaria is a serious health problem, causing many deaths and morbidity cases throughout the world particularly in Africa and south Asia. In 2013, there were about 198 million cases of malaria and an estimation of 584,000 deaths recorded globally, mostly among African children. Malaria is caused by infection of red blood cells with protozoan parasit...
Malaria is characterized by its life-threatening and destructive capability through the cause of widespread sufferings, contributing to the increase in mortality rates throughout the various parts of the world. Since the needs for immediate and appropriate diagnosis of malaria are urgently needed, this paper proposes a procedure for colour image se...
Leukaemia is a blood cancer disease that contributes to the increment of mortality rate in Malaysia each year. There are two main categories for leukaemia, which are acute and chronic leukaemia. The production and development of acute leukaemia cells occurs rapidly and uncontrollable. Therefore, if the identification of acute leukaemia cells could...
Agriculture is one of the main sources that contribute to the economic development in the country. However, diseases that attack the crops have given a little impact to the agricultural production. Generally, plant pathologist has the difficulties to detect the symptoms that relate to the plant disease. The plant usually gets infected that are caus...
Malaria is a life-threatening parasitic infectious disease that corresponds for nearly one million deaths each year. Due to the requirement of prompt and accurate diagnosis of malaria, the current study has proposed an unsupervised pixel segmentation based on clustering algorithm in order to obtain the fully segmented red blood cells (RBCs) infecte...
Colour image segmentation has becoming more popular for computer vision due to its important process in most medical
analysis tasks. This paper proposes comparison between different colour components of RGB(red, green, blue) and HSI (hue, saturation, intensity) colour models that will be used in order to segment the acute leukemia images. First, pa...
Malaria is a life-threatening parasitic infectious disease that corresponds for nearly one million deaths each year. Due to the requirement of prompt and accurate diagnosis of malaria, the current study has proposed an unsupervised pixel segmentation based on clustering algorithm in order to obtain the fully segmented red blood cells (RBCs) infecte...
In this paper, three moment invariants techniques have been used to extract the shape properties of the image. There are geometric moment, zernike moment and united moment invariants. These moment invariants have been used to analyze the image due to its invariant features of an image based on scaling factor and rotation. A set of equations known a...
Moment invariants have been produced for feature extraction in shape properties. In this paper, two moment invariants which are geometric moments and Zernike moments have been used to extract the feature images. The current study has also presented the detailed study of Geometric and Zernike moment invariants. These moment invariants are used to an...
Image classification is one of the most important part in image processing. There are variety of approaches that can be used to perform the recognition and classification of the image. In this paper, the Geometric Moment Invariant has been used to extract a set of shape in terms of feature vector from the image. This moment invariant is used to ana...
K-nearest neighbor is one of the simplest methods in handling classification problems.
Though it is simple, its performance is still unquestionably reliable in various fields of applications.
This paper presents the study on classifying thalassemia blood sample images into four categories.
These categories are alpha thalassemia, beta thalassemia, b...
Malaria is the most common life-threatening infection that is responsible for nearly one million deaths each year. Due to the requirement of prompt and accurate diagnosis of malaria, the current study has proposed the colour image segmentation of malaria parasites that has been applied on malaria images of P. vivax species. In order to obtain the s...
Leukaemia is a cancer of blood that causes more death than any other cancers among children and young adults under the age of 20. This disease can be cured if it is detected and treated at the early stage. Based on this argument, the requirement for fast analysis of blood cells for leukaemia is of paramount importance in the healthcare industry. Th...
Malaria is a serious global health problem that is responsible for nearly one million deaths each year. With the large number of cases diagnosed over the year, rapid detection and accurate diagnosis of malaria infection which facilitates prompt treatment are essential to control malaria. This paper presents a colour image segmentation approach for...
Leukaemia is a life threatening disease that has caused many deaths for the patients below 20 years of age compared to the other types of cancer. The accurate and early detection of leukaemia are the main keys to cure this disease effectively. Therefore, the need for analyzing the blood cells promptly is essential for leukaemia screening. Currently...
Recent progress based on microscopic imaging has given significant contribution in diagnosis of malaria infection based on blood images. Due to the requirement of prompt and accurate diagnosis of malaria, the current study has proposed an unsupervised colour image segmentation of malaria parasites using moving k-means (MKM) clustering algorithm. It...
Malaria is one of the serious global health problem, causing widespread sufferings and deaths in various parts of the world. With the large number of cases diagnosed over the year, early detection and accurate diagnosis which facilitates prompt treatment is an essential requirement to control malaria. For centuries now, manual microscopic examinati...