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

Now showing items 1-18 of 18

    • 3D object recognition using MANFIS network with orthogonal and non-orthogonal moments 

      M. Khusairi, Osman; Mohd Yusoff, Mashor; M. Rizal, Arshad; Zuraidi, Saad (Institute of Electrical and Electronics Engineering (IEEE), 2009-03-06)
      This paper addresses a performance analysis of two well known moments, namely Hu's moments and Zernike's moments for 3D object recognition. Hu's moments and Zernike's moments are the non-orthogonal and orthogonal moments ...

    • 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 ...

    • An Automated Segmentation and Counting of Ki67 Cells in Meningioma Using K-Means Clustering Technique 

      Fahmi Akmal, Dzulkifli; Mohd Yusoff, Mashor; Hasnan, Jaafar (IOP Publishing, 2019)
      Meningioma is a type of primary brain tumours. The meningiomas account for about one-third of all primary brain tumours. Image segmentation plays an important role in image analysis, especially detecting the tumours or ...

    • Automatic glass-slide capturing system for cervical cancer pre-screening program 

      Nor Rizuan, Mat Noor; Nor Ashidi, Mat Isa; Mohd Yusoff, Mashor; Kamal Zuhairi, Zamli; Mohammad Subhi Al-Batah (Science Publications, 2008)
      Clinical glass-slide capturing system is becoming an important part of telemedicine, medical database and diagnostic system that involves of microscope and image acquisition device which is digital camera. One of the areas ...

    • A BI-RADS based expert systems for the diagnoses of breast diseases 

      Umi Kalthum, Ngah; Shalihatun Azlin, Aziz; Mohd Ezane, Aziz; Mazeda, Murad; Nik Munirah, Nik Mahdi; Ali Yeon, Md Shakaff; Nor Ashidi, Mat Isa; Mohd Yusoff, Mashor; Mohd. Rizal, Arshad (Science Publications, 2007)
      We proposed an expert system based on the interpretation of mammographic and ultrasound images that may be used by expert and non-expert doctors in the interpretation and classifying of patient cases. The expert system ...

    • Bio e-Nose for Virgin Coconut Oil (VCO) Standardization 

      Mohd Noor, Ahmad,; Ali Yeon, Md Shakaff; Mohd Yusoff, Mashor; Zulkafli, Daud; Solhan, Yahya; Anas, Mohd Noor; Azman, Mat Hussin; Suhardy, Daud (Malaysian Invention and Design Society (MINDS), 2006)
      To establish Bio e-Nose as a tool to standardize and quality control of VCO.

    • Classification of Acute Leukemia Based on Multilayer Perceptron 

      Nurul Hazwani, Abd Halim; Mohd Yusoff, Mashor; Rosline, Hassan (IOP Publishing, 2019)
      In general, various artificial neural network have been applied in many areas such as modelling, pattern recognition, signal processing, diagnostic and prognostic. In this paper, artificial neural network are used to detect ...

    • Classification of heart sounds using wavelets and neural networks 

      Hadi, H. M.; Mohd Yusoff, Mashor; Mohamed, M. S.; Tat, K. B. (Institute of Electrical and Electronics Engineering (IEEE), 2008)
      A heart sound feature extraction and classification method has been developed. It used the discrete wavelet decomposition and reconstruction to produce the envelopes of details of the signals for further extracting the ...

    • 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 ...

    • Color thresholding method for image segmentation algorithm of Ziehl-Neelsen sputum slide images 

      Rafikha Aliana, A. Raof; Zaleha, Salleh; S. I. Sahidan; Mohd Yusoff, Mashor; S. S., Mohd Noor; Fayez, Mohamad Idris; Habsah, Hasan (Institute of Electrical and Electronics Engineers (IEEE), 2008-11-12)
      Most of the thresholding procedures involved setting of boundaries based on grey values or intensities of image pixels. In this paper, the thresholding is to be done based on color values in images of Ziehl-Neelsen sputum ...

    • Colour contrast enhancement based on bright and dark stretching for Ziehl-Neelsen slide images 

      Zaleha, Salleh; Mohd Yusoff, Mashor; Mat Noor, N. R.; Shazmin Aniza, Abdul Shukor; Norasmadi, Abdul Rahim; Wahab, A. S W; Md Noor, S. S.; Mohamad Idris, F.; Hasan, H. (Institute of Electrical and Electronics Engineering (IEEE), 2007-11)
      The Ziehl-Neelsen stain, also known as the acid-fast stain, was first described by two German doctors; Franz Ziehl (1859 to 1926), a bacteriologist and Friedrich Neelsen (1854 to 1894), a pathologist [1].It is a special ...

    • Fine needle aspiration cytology evaluation for classifying breast cancer using artificial neural network 

      Nor Ashidi, Mat Isa; Esugasini, Subramaniam; Mohd Yusoff, Mashor; Nor Hayati, Othman (Science Publications, 2007)
      Thirteen cytology of fine needle aspiration image (i.e. cellularity, background information, cohesiveness, significant stromal component, clump thickness, nuclear membrane, bare nuclei, normal nuclei, mitosis, nucleus ...

    • 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 ...

    • 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) ...

    • 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 ...

    • Segmentation of Irrelevant Regions using Color Thresholding Method: application in Breast Histopathology Images 

      Tan Xiao, Jian; Nazahah, Mustafa; Mohd Yusoff, Mashor; Khairul Shakir, Ab Rahman (IOP Publishing, 2019)
      Segmentation of irrelevant regions in the breast histopathology image is essentially performed in preliminary or post processing stages. This study presents a color thresholding method to segment the irrelevant regions, ...

    • Segmentation of Relevant Region in Breast Histopathology Images using FCM with Guided Initialization 

      Tan Xiao, Jian; Nazahah, Mustafa; Mohd Yusoff, Mashor; Khairul Shakir, Ab Rahman (IOP Publishing, 2019)
      This study proposes a modified initialization approach for the conventional FCM, namely FCM with guided initialization. The FCM with guided initialization was implemented to segment the relevant regions in the breast ...