Browsing Mohd Yusoff Mashor, Prof. Dr. by Author "Nor Hazlyna, Harun"

Now showing items 1-7 of 7

    • 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 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 ...

    • Comparison of acute leukemia image segmentation using HSI and RGB color space 

      Nor Hazlyna, Harun; Mohd Yusoff, Mashor, Prof. Madya Dr.; Mokhtar, N. R.; Aimi Salihah, A. N.; Hassan, R.; Rafikha Aliana, A. Raof; Osman, M. K. (Institute of Electrical and Electronics Engineers (IEEE), 2010-05-10)
      The Image segmentation plays an important role in computer vision and image processing areas. In this paper, the use of color segmentation for segmenting acute leukemia images is proposed. The segmentation technique segments ...

    • 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 ...

    • 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 ...

    • Performance comparison between RGB and HSI linear stretching for tuberculosis bacilli detection in ziehl-neelsen tissue slide images 

      Osman, M. K.; Mohd Yusoff, Mashor, Prof Madya Dr.; Jaafar, H.; Rafikha Aliana, A. Raof; Nor Hazlyna, Harun (Institut of Electrical and Electronics Engineering (IEEE), 2009-11-18)
      Ziehl-Neelsen staining method is commonly used for diagnosis of tuberculosis patients. Sputum or tissues samples are stained using this method before microscopic examination. However, manual screening is time consuming and ...