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

Now showing items 1-5 of 5

    • 3D object recognition: Views, moment invariants & perceptron networks 

      Mohd Yusof, Mashor, Prof. Dr.; M. K., Osman; R., Arshad (Universiti Malaysia Perlis (UniMAP)Pejabat Timbalan Naib Canselor (Penyelidikan dan Inovasi), 2007-08)
      Computer vision recognition typically involves sensors, a model database containing information about the object representations and decision making or categorization. Sensors gather images that are processed to ...

    • 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 ...

    • The NARMAX Model for a DC Motor using MLP Neural Network 

      Norasmadi, Abdul Rahim; Mohd Nasir, Taib; Abdul Hamid, Adom, Prof. Dr.; Mohd Yusof, Mashor, Prof. Dr. (Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM)School of Mechatronic Engineering, 2006-09-15)
      The approach to the design of direct current (DC) motor varies considerably using advanced methods such asartificial intelligence (AI). However, accuracy issuescannot be totally achieved using conventional methods.This ...

    • Nucleus segmentation technique for acute leukemia 

      Nurul Hazwani, Abd. Halim,; Mohd Yusof, Mashor, Prof. Dr.; A. S., Abdul Nasir; N. R., Mokhtar; H., Rosline (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 ...

    • Tuberculosis bacilli detection in Ziehl-Neelsen-stained tissue using affine moment invariants and extreme learning machine 

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