Now showing items 1-4 of 4

    • 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 ...
    • K-Mean clustering simulation using C programming 

      Mohammad Isa, Ahmad Azan (Universiti Malaysia Perlis (UniMAP)School of Microelectronic Engineering, 2011-06)
      At present, an analysis of the data or information is important in determining or divides into several clusters. Clustering method is one way how to analyze the static data that is used in various fields, including machine ...
    • Study on Sperm DNA Integrity Detection Using an Image Processing Approach 

      Banu Rekha B.; Vidya Lakshmi; Anusha Devi T T; Sree Niranjanaa Bose S; Sujatha, S. (Universiti Malaysia Perlis (UniMAP), 2018)
      Human reproductive issues are on the rise across the globe due to change in lifestyle, food habits and deteriorating environmental conditions. Hence, detection and treatment of infertility is gaining impetus. Quality of ...
    • Unsupervised colour segmentation of white blood cell for acute leukaemia images 

      A. S., Abdul Nasir; Mohd Yusoff, Mashor, Prof. Dr.; H., Rosline (Institute of Electrical and Electronics Engineers (IEEE), 2011)
      Colour image segmentation has becoming more popular for computer vision due to its important process in most medical analysis tasks. One of the main tasks is the segmentation of white blood cell (WBC) where the WBC composition ...