Mohd Yusoff Mashor, Prof. Dr.: Recent submissions
Now showing items 41-60 of 85
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Improving blast segmentation of acute myelogenous leukaemia (AML) images using bright stretching technique
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)Contrast enhancement and image segmentation techniques have fast becoming popular for computer vision and image processing area in the last few decades. In this paper, the combination between contrast enhancement and ... -
Adaptive neuro-controller design based on MLP network
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)Back Propagation (BP) algorithm is the most commonly used algorithm for training artificial neural networks. But, it suffers from extensive computations, relatively slow convergence speed and possible divergence for ... -
Colour contrast enhancement based on bright and dark stretching for Plasmodium Falciparum in malaria slide image
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)Malaria is a widely prevalent disease effecting millions of people in various parts of the world. Malaria is caused by four species of Plasmodium which infect both humans and animals; Plasmodium Malariae, Plasmodium Vivax, ... -
Model reference adaptive neuro-controller with on-line parameter estimation
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)In this paper, a Model Reference Adaptive Neuro- Controller is developed, in which the error between the outputs of the plant and the reference model is used to adapt the controller parameters. The Model Reference Adaptive ... -
Model reference adaptive neuro-controller based on HMLP network
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)In this paper, an Adaptive Neuro-Controller (ANC) based on HMLP Network is proposed as an alternative to a conventional adaptive controller. The ANC will be adapted such that the plant should follow a desired output, ... -
Application of fuzzy c-mean clustering technique for mycobacterium tuberculosis detection in Ziehl-Neelsen stained tissue images
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)Automatic detection of Mycobacterium tuberculosis improves accuracy, sensitivity and efficiency of diagnosis compared to manual method. However, the process is difficult, especially in Zeihl-Neelsen stained tissue ... -
Review article a perspective of Myelodysplastic Syndrome (MDS)
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)The Myelodysplastic Syndrome (MDS) includes a diverse group of clonal and potentially malignant bone marrow disorders characterized by ineffective and inadequate hematopoiesis [1]. Classically, French-American-British ... -
Bone marrow image segmentation based on multilevel thresholding
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)This paper represents an approach of image segmentation on microscopic bone marrow images by using multilevel tresholding technique. This technique has been applied into two types of images which is normal bone marrow ... -
An overview of thalassaemia disease
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)Cooley’s anemia, Mediterranean anemia and thalassaemia major, all refer to a severe, inherited form of anemia first described in 1925 by Dr. Thomas Benton Cooley, an American Pediatrician. There are two types of ... -
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. ... -
White blood cell segmentation for acute leukemia bone marrow images
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)Morphological diagnosis of the blood and bone marrow smear under the microscope is an important preliminary step in the diagnosis of acute leukemia. The features and differential counts of the cells provide valuable ... -
Image enhancement using white balance technique in Ziehl-Neelsen sputum slide images
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)Ziehl-Neelsen stain method is one of the common techniques that are being used to diagnose the tuberculosis (TB) infection. However, due to the manual process of preparing the samples, the image of the slide may not appear ... -
Modified median filter for noise reduction in Ziehl-Neelsen sputum slide images
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)Image filtering is an important approach in the area of digital image processing for noise reduction. The time cost and output image quality in the filtering system are two convention measures in selecting the appropriate ... -
Online sequential extreme learning machine for classification of Mycobacterium tuberculosis in Ziehl-Neelsen stained tissue
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)The application of image processing and artificial intelligence for computer-aided tuberculosis (TB) diagnosis has received considerable attention over the past several years and still is an active research area. Several ... -
Model reference adaptive control with adaptive parametric black box controller
(Institute of Electrical and Electronics Engineers (IEEE), 2008-12-01)In this paper,a method for adapting conventional controller are used to adapt an Adaptive Parametric Black Box Controller (APBB). The APBB controller will be adapted such that the plant should follow a desired trajectory ... -
Tuberculosis bacilli detection in Ziehl-Neelsen-stained tissue using affine moment invariants and extreme learning machine
(Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)This paper describes an approach to automate the detection and classification of tuberculosis (TB) bacilli in tissue section using image processing technique and feedforward neural network trained by Extreme Learning ... -
Nucleus segmentation technique for acute leukemia
(Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)Leukemia is a disease that affects blood forming cells in the body. Early detection of the disease is necessary for proper treatment management. Abnormal white blood cells or blasts play important role for hematologists ... -
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 ... -
Unsupervised colour segmentation of white blood cell for acute leukaemia images
(Institute of Electrical and Electronics Engineers (IEEE), 2011)Colour image segmentation has becoming more popular for computer vision due to its important process in most medical analysis tasks. One of the main tasks is the segmentation of white blood cell (WBC) where the WBC composition ... -
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 ...