Browsing Mohd Yusoff Mashor, Prof. Dr. by Author "Mohd Yusoff, Mashor, Prof. Dr."

Now showing items 1-20 of 40

    • 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 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • Cluster approach for auto segmentation of blast in acute leukimia blood slide images 

      N. H., Harun; Mohd Yusoff, Mashor, Prof. Dr.; H., Rosline (Springer-Verlag, 2011-06-20)
      Image segmentation is an essential step in image analysis and is a requirement for feature extraction. One of the common segmentation techniques is using clustering algorithms. Currently, clustering algorithm has been used ...

    • 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, ...

    • Colour image enhancement using dark, local and global stretching techniques for screening of Myelodysplatic Syndrome (MDS) 

      Norsima Nazirah, Sidek; Nurul Wahidah, M. F.; Mohd Yusoff, Mashor, Prof. Dr.; H., Rosline (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 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 ...

    • Combination of local and dark stretching for Ziehl-Neelsen TB bacilli slide images in tissue and sputum samples 

      Nurul Wahidah, M. F.; Norsima Nazirah, Sidek; Mohd Yusoff, Mashor, Prof. Dr.; Md Noor, S. S. (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 

      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 ...

    • 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 ...

    • Detection of acute leukaemia cells using variety of features and neural networks 

      A. S., Abdul Nasir; Mohd Yusoff, Mashor, Prof. Dr.; H., Rosline (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 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 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 ...