Browsing Mohd Yusoff Mashor, Prof. Dr. by Author "yusoff@unimap.edu.my"

Now showing items 1-20 of 32

    • 3D object recognition system using multiple views and cascaded multilayered perceptron network 

      Muhammad Khusairi, Osman; Mohd Yusoff, Mashor, Prof. Dr.; Mohd Rizal, Arshad (IEEE Conference Publications, 2004-12)
      This paper proposes an effective method for recognition and classification of 3D objects using multiple views technique and neural networks system. In the processing stage, we propose to use 2D moment invariants as the ...

    • 3D object recognition using 2D moments and HMLP network 

      Mohd Yusoff, Mashor, Prof. Dr.; Muhammad Khusairi, Osman; Mohd Rizal, Arshad (IEEE Conference Publications, 2004-07)
      This paper proposes a method for recognition and classification of 3D objects using 2D moments and HMLP network. The 2D moments are calculated based on 2D intensity images taken from multiple cameras that have been arranged ...

    • Adaptive neuro-controller based on IMAC scheme for InnoSAT control 

      Norhayati, M. N.; Mohd Yusoff, Mashor, Prof. Dr.; Siti Maryam, Sharun; Azian Azamimi, Abdullah; Wan Nur Hadani (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      In this paper, an Adaptive Neuro-Controller (ANC) based on Internal Model Adaptive Control (IMAC) scheme is developed to adjust the control parameters for the InnoSAT attitude. Controller architecture, which is combination ...

    • Adaptive Neuro-Controller for three axes attitude control of innovative satellite 

      Siti Maryam Sharun; Mohd Yusof Mashor, Prof. Dr.; M. N. Norhayati; W. N. Hadani; Sazali Yaacob, Prof. Dr. (Science Academy, 2011-03)
      There exists so many disturbance torques in space which may deviate the satellite from the desired attitude. To overcome the effects of the disturbance torques some stabilization has to be provided to the satellite. This ...

    • Adaptive Neuro-Controller for three-axes attitude control of innovative satellite 

      Siti Maryam, Sharun; Mohd Yusoff, Mashor, Prof. Dr.; M. N. Norhayati; W. N. Hadani; Sazali, Yaacob, Prof. Dr. (Science Academy Publisher, 2011-03)
      There exists so many disturbance torques in space which may deviate the satellite from the desired attitude. To overcome the effects of the disturbance torques some stabilization has to be provided to the satellite. This ...

    • An Automated Intelligent Identification and Counting System Procedure for Tuberculosis 

      Fatin Atiqah, Rosli; Mohd Yusoff, Mashor; Siti Suraya, Md Noor (IOP Publishing, 2019)
      Tuberculosis (TB) is an infectious disease caused by Mycobacterium Tuberculosis or TB Bacilli. Currently, the classification of TB bacilli is carried out by microbiologist by using Ziehl-Nielsen (ZN) stained smear sputum ...

    • Blood cell image segmentation: a review 

      Robiyanti, Adollah; Mohd Yusoff, Mashor, Prof. Dr.; Nashrul Fazli, Mohd Nasir, Dr.; Rosline, Hassan; Hakimah, Mahsin; H., Adilah (Springer-Verlag, 2008-06)
      Image processing technique involved five basic components which are image acquisition, image preprocessing, image segmentation, image post-processing and image analysis. The most critical step in image processing is the ...

    • Bone marrow image segmentation based on multilevel thresholding 

      Robiyanti, Adollah; Elsie Usun, Francis; Mohd Yusoff, Mashor, Prof. Dr.; Nor Hazlyna, Harun (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 ...

    • Classification of acute leukemia sub-types using artificial neural network 

      Lim, Chee Chin; Elsie Usun, Francis; Mohd Yusoff, Mashor, Prof. Dr.; Roseline, Hassan, Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      This paper presents a study on sub-types classification of acute leukemia using artificial neural networks. Thirteen morphologival features have been extracted from acute leukemia cells and used as the neural network inputs ...

    • Classification of blasts in acute leukemia blood samples using k-nearest neighbour 

      Nadiatun Zawiyah, Supardi; Mohd Yusoff, Mashor, Prof. Madya Dr.; Nor Hazlyna, Harun; Fatimatul Anis, Bakri; Rosline, Hassan, Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012-03-23)
      The k-nearest neighbor (k-NN) is a traditional method and one of the simplest methods for classification problems. Even so, results obtained through k-NN had been promising in many different fields. Therefore, this paper ...

    • 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 ...

    • Classification of heart valve diseases using correlation analysis 

      Mohd Zubir, Suboh; Mohd Yusoff, Mashor; Abdul Rahman, Mohd Saad; M.S., Mohamed (Institute of Electrical and Electronics Engineering (IEEE), 2008-11-12)
      As a subjective and qualitative method, heart sound auscultation has it's inherit limitations. In this paper, we present an analytical perspective on heart sound auscultation and explain how to classify heart diseases using ...

    • Colour image segmentation approach for detection of malaria parasites using various colour models and k-means clustering 

      Aimi Salihah, Abdul-Nasir; Yusoff, Mashor, Prof. Dr.; Zeehaida, Mohamed, Dr. (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 

      A.S., Abdul Nasir; Mohd Yusoff, Mashor, Prof. Dr.; Zeehaida, Mohamed, Dr. (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 ...

    • Comparison for partial and dark contrast stretching on abnormal bone marrow slide images for leukemia screening 

      Elsie Usun, Francis; Mohd Yusoff, Mashor, Prof. Dr.; Azian Azamimi, Abdullah; Roseline, Hassan, Dr. (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 ...

    • Detection of tubercle bacilli in Ziehl-Neelsen stained sputum slide images using Hu’s moment and HMLP network 

      Rafikha Aliana, A. Raof; Mohd Yusoff, Mashor, Prof. Dr.; R. Badlishah, Ahmad, Prof. Dr.; Noor, S. S. M.; M. A. Abdullah; M. K. Osman (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 tuberculosis bacilli in tissue slide images using HMLP network trained by Extreme Learning Machine 

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

      Siti Maryam, Sharun; Mohd Yusoff, Mashor, Dr.; Sazali, Yaacob, Prof. Dr.; Zul Azfar, Ahmam; N. Hamzah (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 

      Nurul Wahidah, M. F.; Mohd Yusoff, Mashor, Prof. Madya. Dr.; Siti Salwa, Md Noor (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. ...

    • Fusion noise-removal technique with modified dark-contrast algorithm for robust segmentation of acute leukemia cell images 

      Nor Hazlyna, Harun; Juhaida, Abu Bakar; Hamirulaini’, Hambali; Nurnadia, Mohd Khair; Mohd. Yusoff, Mashor; Roseline, Hassan (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 ...