Now showing items 48-67 of 85

    • Image enhancement and segmentation using dark stretching technique for Plasmodium Falciparum for thick blood smear 

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

      Nurul Hazwani, Abd. Halim; Mohd Yusoff, Mashor, Prof. Dr.; H., Rosline (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 ...
    • 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 ...
    • Image enhancement techniques for thalassaemia images using bright, dark and partial contrast stretching method 

      N. Z. N., Rashid; Mohd Yusoff, Mashor, Prof. Dr.; Rosline, Hassan, Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      Image enhancement techniques are used as pre-processing tools in digital image processing. The purpose of this technique is to improve the quality of image without knowledge about the source of degradation. The image results ...
    • 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 ...
    • Image Enhancement using Modified Partial Contrast Technique in Ziehl-Neelsen Sputum Slide Images 

      Rafikha Aliana, A. Raof; Mohd Yusoff, Mashor; S. S. M., Noor (IOP Publishing, 2019)
      Image contrast and brightness for sputum slide images are among important factors that can affect the accuracy of image analysis process. Microscopic images usually have the problem of low contrast and blurry, which are ...
    • 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 ...
    • 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 ...
    • Injected fuel flow forecasting with Online Sequential Extreme Learning Machine 

      Zuraidi, Saad; Muhammad Khusairi, Osman; Mohd Yusoff, Mashor, Prof. Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      This study deals with Online Sequential Extreme Learning Machine (OS-ELM) modeling of a gasoline engine to predict the injected fuel flow of the engine. The single hidden layer feedforward networks (SLFN) trained by ...
    • Intelligent Fuzzy PD+I Controller with Stabilizer for Nano Satellite Attitude Control System 

      Hani Hazza, Ali Ahmed; Mohd Yusoff, Mashor; Mohammed Chessab, Mahdi (IOP Publishing, 2019)
      This paper discusses the variation of proportional and derivative gains in a system under the control of PD+I controller that uses fuzzy inference method an effort is made to design the fuzzy proportional-derivative (PD) ...
    • Measuring blood pressure using a photoplethysmography approach 

      Muhamad Khairul, Ali Hassan; Mohd Yusoff, Mashor, Prof. Dr.; Nashrul Fazli, Mohd Nasir, Dr.; Shakir H., Mohamed (Springer-Verlag, 2008-06)
      Blood pressure is often measured using a device called a sphygmomanometer, a stethoscope, and a blood pressure cuff. All the existing manual or automatic measuring techniques of blood pressure are based on this principle, ...
    • Measuring of systolic blood pressure based on heart rate 

      Muhamad Khairul, Ali Hassan; Mohd Yusoff, Mashor, Prof. Dr.; Nashrul Fazli, Mohd Nasir, Dr.; Shakir H., Mohamed (Springer-Verlag, 2008-06)
      In this paper, we describe the method of noninvasive blood pressure (BP) measurement using electrocardiography (ECG) signal to measure arterial blood pressure. Here, we propose a continuous blood pressure monitoring method ...
    • Mitotic Cell Detection in Breast Histopathology Image: a review 

      Tan Xiao, Jian; Nazahah, Mustafa; Mohd Yusoff, Mashor; Khairul Shakir, Ab Rahman (IOP Publishing, 2019)
      Mitotic assessment is one of the critical features in the Nottingham Histological Grading (NHG) system for breast cancer grading. In recent years, rapid development in the performance of mounted camera, computer processing ...
    • 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 ...
    • Model reference adaptive control with adaptive parametric black box controller 

      Nasim, Ahmed; Mohd Yusoff, Mashor, Prof. Dr.; Abdul Hamid, Adom, Prof. Madya Dr. (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 ...
    • 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, ...
    • 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 ...
    • Modeling and forecasting of injected fuel flow using neural network 

      Z., Saad; M. K., Osman; S., Omar; Mohd Yusoff, Mashor, Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)
      The aim of this research is to develop an intelligent automated online forecasting of a car fuel consumption using neural network and classified it into classes of driving style. A new online monitoring tool was developed ...
    • Modified global and modified linear contrast stretching algorithms: New colour contrast enhancement techniques for microscopic analysis of malaria slide images 

      Aimi Salihah, Abdul-Nasir; Mohd Yusoff, Mashor, Prof. Dr.; Zeehaida, Mohamed, Dr. (Hindawi Publishing Corporation, 2012)
      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 ...
    • 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 ...