Browsing Mohd Yusoff Mashor, Prof. Dr. by Title
Now showing items 30-49 of 85
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Colour image enhancement using bright and dark stretching techniques for tissue based Tuberculosis Bacilli detection
(Universiti Malaysia Perlis, 2009-10-11)Tuberculosis is a serious disease caused by infection with the germ Mycobacterium tuberculosis. Sputum sample analysis is a common method for TB bacilli detection. In some cases, tissue from the suspected system is also ... -
Colour image enhancement using dark, local and global stretching techniques for screening of Myelodysplatic Syndrome (MDS)
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)Myelodysplastic Syndrome (MDS) is a heterogenous group of disorders which are characterized by clonal and ineffective hematopoiesis. Peripheral blood smear or bone marrow aspirates smear analysis under microscope is a ... -
Colour image segmentation approach for detection of malaria parasites using various colour models and k-means clustering
(World Scientific and Engineering Academy and Society (WSEAS), 2013-01)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 ... -
Colour image segmentation of malaria parasites in thin blood smears using C-Y colour model and K-Means clustering
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)Malaria is a life threatening disease 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 which facilitates prompt ... -
Colour image segmentation of tuberculosis bacilli in Ziehl-Neelsen-stained tissue images using moving K-Mean clustering procedure
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05)Segmentation of tuberculosis bacilli in Zeihl-Neelsen tissue slide images is a crucial step in computerassisted tuberculosis bacilli detection. In this paper, an automatic colour image segmentation using moving k-mean ... -
Combination of local and dark stretching for Ziehl-Neelsen TB bacilli slide images in tissue and sputum samples
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)Tuberculosis is an infectious and dangerous disease which can spread through the air when the infected person coughed, sneezed or spited. Sputum and tissue sample analysis is a common method for extra-pulmonary and pulmonary ... -
Comparison for partial and dark contrast stretching on abnormal bone marrow slide images for leukemia screening
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)Image enhancement is often carried out on medical images to improve the quality of the images for further analysis that needs to be done afterwards. It is the most fundamental digital image processing approach done on ... -
Comparison of acute leukemia image segmentation using HSI and RGB color space
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-10)The Image segmentation plays an important role in computer vision and image processing areas. In this paper, the use of color segmentation for segmenting acute leukemia images is proposed. The segmentation technique segments ... -
Comparison of colour thresholding method using RGB and HSI information for Ziehl-Neelsen sputum slide images
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-10)Image segmentation technique for Ziehl-Neelsen sputum slide image is an important factor in extracting tuberculosis (TB) bacilli from the background and sputum cells. Colour threshold using Red, Green, Blue (RGB) information ... -
Detection of acute leukaemia cells using variety of features and neural networks
(Springer-Verlag., 2011)This paper presents the application of features combination and Multilayer Perceptron (MLP) neural network for classification of individual white blood cells (WBC) inside the normal and acute leukaemia blood samples. The ... -
Detection of mycobacterium tuberculosis in tissue using k-Nearest neighbour and fuzzy k-Nearest neighbour classifiers
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)Early detection and treatment are the most promising way to increase a patient's chance of survival from TB disease, reduce the duration and cost of treatment, and prevent the disease from spreading. Currently, microscopic ... -
Detection of tubercle bacilli in Ziehl-Neelsen stained sputum slide images using Hu’s moment and HMLP network
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)Manual screening by light microscopy is the most widely used method for tubercle bacilli detection in the developing country. However, it is a time consuming and labour-intensive process. In this paper, a method using image ... -
Detection of tubercle bacilli in Ziehl-Neelsen stained tissue slide images using Hu’s moment invariants and artificial neural network
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)Early detection of tuberculosis infection is the key to successful treatment and control of the disease. Manual screening by light microscopy is the most widely used for tubercle bacilli detection but it is time ... -
Detection of tuberculosis bacilli in tissue slide images using HMLP network trained by Extreme Learning Machine
(Kauno Technologijos Universitetas, 2012-04)This paper proposes an automated detection of tuberculosis bacilli in Ziehl-Neelsen-stained tissue slides using image processing and neural network. Image segmentation using CY-based colour filter and k-mean clustering ... -
Development of attitude control simulator for InnoSAT satellite system
(Universiti Malaysia Perlis (UniMAP), 2012-05-18)The current study proposes a novel approach for satellite attitude control simulator design where the simulator consists of both software and hardware. A software simulator will represent the satellite dynamic model, ... -
Enhancement techniques for tuberculosis slide images: A review
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)Tuberculosis (TB) is a very hazardous disease caused by infection of germ Mycobacterium tuberculosis that can cause death to the patient. TB can spread like common flu such as through air or direct body fluid connection. ... -
Fine needle aspiration cytology evaluation for classifying breast cancer using artificial neural network
(Science Publications, 2007)Thirteen cytology of fine needle aspiration image (i.e. cellularity, background information, cohesiveness, significant stromal component, clump thickness, nuclear membrane, bare nuclei, normal nuclei, mitosis, nucleus ... -
Fusion noise-removal technique with modified dark-contrast algorithm for robust segmentation of acute leukemia cell images
(Universitas Ahmad Dahlan, 2018-11)Segmentation is the major area of interest in the field of image processing stage. In an automatic diagnosis of acute leukemia disease, the crucial process is to achieve the accurate segmentation of acute leukemia blood ... -
Image enhancement and segmentation using dark stretching technique for Plasmodium Falciparum for thick blood smear
(The Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)This paper present the results of applying dark stretching technique to enhance and segment the Plasmodium Falciparum based on thick blood smear images. Image enhancement is the process to improve the quality (clarity) of ... -
Image enhancement technique for bone marrow
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)This paper presents a study on image enhancement technique for improving the features of blasts in acute leukemia bone marrow samples. The morphological features in bone marrow images could be improved if poor contrast ...