Now showing items 21-40 of 85

    • Image enhancement techniques using local, global, bright, dark and partial contrast stretching for acute leukemia images 

      N.R.Mokhtar; Nor Hazlyna, Harun; Mohd Yusoff, Mashor, Prof. Dr.; H.Roseline; Nazahah, Mustafa; R., Adollah; H., Adilah; Nashrul Fazli, Mohd Nasir, Dr. (International Association of Engineers, 2009-07)
      Leukaemia is a malignant disease (cancer) that affects people in any age either they are children or adults over 50 years old. Nowadays, there are screening system guidelines for leukaemia patients. The screening result ...
    • Colour image enhancement using bright and dark stretching techniques for tissue based Tuberculosis Bacilli detection 

      Muhammad Khusairi, Osman; Yusoff, Mashor; Hasnan, Jaafar (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 ...
    • Performance comparison between RGB and HSI linear stretching for tuberculosis bacilli detection in ziehl-neelsen tissue slide images 

      Osman, M. K.; Mohd Yusoff, Mashor, Prof Madya Dr.; Jaafar, H.; Rafikha Aliana, A. Raof; Nor Hazlyna, Harun (Institut of Electrical and Electronics Engineering (IEEE), 2009-11-18)
      Ziehl-Neelsen staining method is commonly used for diagnosis of tuberculosis patients. Sputum or tissues samples are stained using this method before microscopic examination. However, manual screening is time consuming and ...
    • Colour image segmentation of tuberculosis bacilli in Ziehl-Neelsen-stained tissue images using moving K-Mean clustering procedure 

      M. K. Osman; Mohd Yusoff, Mashor, Prof Madya Dr.; Z. Saad; H. Jaafar (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 ...
    • Classification of heart sound based on S-Transform and neural network 

      H. M., Hadi; Mohd Yusoff, Mashor, Prof. Madya Dr.; Mohd Zubir, Suboh; Mohamed Sapawi, Mohamed (Institute of Electrical and Electronics Engineers (IEEE), 2010-05-10)
      The skill of cardiac auscultatory is very important to physicians for accurate diagnosis of many heart diseases. However, it needs some training and experience to improve the skills of medical students in recognizing and ...
    • Comparison of colour thresholding method using RGB and HSI information for Ziehl-Neelsen sputum slide images 

      Rafikha Aliana, A. Raof; Mohd Yusoff, Mashor, Prof. Dr.; R. Badlishah, Ahmad, Prof. Madya Dr.; Noor, S. S. M.; Kosman, M. (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 ...
    • Comparison of acute leukemia image segmentation using HSI and RGB color space 

      Nor Hazlyna, Harun; Mohd Yusoff, Mashor, Prof. Madya Dr.; Mokhtar, N. R.; Aimi Salihah, A. N.; Hassan, R.; Rafikha Aliana, A. Raof; Osman, M. K. (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 ...
    • Segmentation of tuberculosis bacilli in Ziehl-Neelsen tissue slide images using Hibrid Multilayered Perceptron network 

      M. K., Osman; Mohd Yusoff, Mashor, Prof. Madya Dr.; Jaafar, H. (Institute of Electrical and Electronics Engineers (IEEE), 2010-05-10)
      Segmentation of Zeihl-Neelsen tissue slide images is an important step in computer-assisted tuberculosis bacilli detection. In Zeihl-Neelsen tissue slide image, colour is the most prominent feature to detect the presence ...
    • Model reference adaptive control based on MLP network for dynamic system 

      Norhayati, Mohd Noor; Mohd Yusoff, Mashor; Siti Maryam, Sharun; Wan Nur Hadani; Soh, Waren (Universiti Malaysia Perlis (UniMAP)Institut Matematik Kejuruteraan, 2010-06-02)
      This paper presents the Model Reference Adaptive Control based on Multi Layered Perceptron (MLP) Network. The error between the output of the plant and the reference model is used to adapt the controller parameters. The ...
    • Modified median filter for noise reduction in Ziehl-Neelsen sputum slide images 

      Rafikha Aliana, A. Raof; R. Badlishah, Ahmad, Prof. Madya Dr.; Mohd Yusoff, Mashor, Prof. Dr.; Siti Suraiya, Mohd Noor, Dr. (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 ...
    • Image enhancement using white balance technique in Ziehl-Neelsen sputum slide images 

      Rafikha Aliana, A. Raof; R. Badlishah, Ahmad, Prof. Madya Dr.; Mohd Yusoff, Mashor, Prof. Dr.; Siti Suraiya, Mohd Noor, Dr. (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 ...
    • Adaptive neuro-controller design based on MLP network 

      Norhayati, Mohd Noor; A. S., Hashim; Mohd Yusoff, Mashor, Prof. Dr.; Siti Maryam, Sharun; Azian Azamimi, Abdullah (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 ...
    • Calculation of blast area for acute leukemia blood cells images 

      Nor Hazlyna, Harun; Mohd Yusoff, Mashor, Prof. Dr.; Rosline, Hassan, Dr. (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)
      Image processing technique consists of five basic components which are image acquisition, image preprocessing, image segmentation, and image postprocessing and image analysis. One of the common image processing techniques ...
    • Model reference adaptive neuro-controller based on HMLP network 

      Siti Maryam, Sharun; Mohd Yusoff, Mashor, Prof. Dr.; Norhayati, Mohd Nazid; Sazali, Yaacob, Prof. Dr. (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 

      Muhammad Khusairi, Osman; Mohd Yusoff, Mashor, Prof. Dr. (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 ...
    • Colour contrast enhancement based on bright and dark stretching for Plasmodium Falciparum in malaria slide image 

      N. S. M. M., Hanif; Mohd Yusoff, Mashor, Prof. Dr.; Zeehaida, Mohamed, Dr. (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 

      Siti Maryam, Sharun; Mohd Yusoff, Mashor, Prof. Dr.; Norhayati, Mohd Noor; Wan Nurhadani; Sazali, Yaacob, Prof. Dr.; Muhyi, Yaakob (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 ...
    • Improving blast segmentation of acute myelogenous leukaemia (AML) images using bright stretching technique 

      Aimi Salihah, Abdul Nasir; Mohd Yusoff, Mashor, Prof. Dr.; Azian Azamimi, Abdullah (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 ...
    • Image enhancement technique using partial contrast stretching on abnormal Bone Marrow images for Leukemia screening 

      E. U., Francis; Mohd Yusoff, Mashor, Prof. Dr.; Azian Azamimi, Abdullah; Roseline, Hassan, Dr. (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)
      Image Enhancement is a very useful pre-processing method that is implemented on biomedical images to eliminate poor contrast, thus improve interpretability for human’s vision. In Leukemia, the Bone Marrow generally ...
    • Detection of tubercle bacilli in Ziehl-Neelsen stained tissue slide images using Hu’s moment invariants and artificial neural network 

      Mohammad Khusairi, Osman; Mohd Yusoff, Mashor, Prof. Dr.; Hasnan, Jaafar (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 ...