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Now showing items 11-20 of 31
Investigating size features of acute leukemia using k-nearest neighbors
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)
This study investigates the size feature of acute leukemia of blood sample image by using k-NN as a classifier. K-NN is believed to be one of the simplest methods in classifying data including images. Hence, this paper ...
Colour image segmentation of malaria parasites in thin blood smears using C-Y colour model and K-Means clustering
(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 ...
Image enhancement technique for bone marrow
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)
This paper presents a study on image enhancement technique for improving the features of blasts in acute leukemia bone marrow samples. The morphological features in bone marrow images could be improved if poor contrast ...
Performance comparison of clustering and thresholding algorithms for tuberculosis bacilli segmentation.
(Institute of Electrical and Electronics Engineers (IEEE), 2012-05-14)
Image segmentation is a key step in most medical image analysis. However, the process is particularly difficult due to limitation of the imaging equipments and variation in biological system. Therefore, accurate and robust ...
Adaptive neuro-controller design based on MLP network
(Universiti Malaysia Perlis (UniMAP), 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 ...
Calculation of blast area for acute leukemia blood cells images
(Universiti Malaysia Perlis (UniMAP), 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 ...
Model reference adaptive neuro-controller based on HMLP network
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
In this paper, an Adaptive Neuro-Controller (ANC)
based on HMLP Network is proposed as an alternative to
a conventional adaptive controller. The ANC will be
adapted such that the plant should follow a desired
output, ...
Application of fuzzy c-mean clustering technique for mycobacterium tuberculosis detection in Ziehl-Neelsen stained tissue images
(Universiti Malaysia Perlis (UniMAP), 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 ...
Online sequential extreme learning machine for classification of Mycobacterium tuberculosis in Ziehl-Neelsen stained tissue
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
The application of image processing and artificial
intelligence for computer-aided tuberculosis (TB) diagnosis has
received considerable attention over the past several years and
still is an active research area. Several ...
Colour contrast enhancement based on bright and dark stretching for Plasmodium Falciparum in malaria slide image
(Universiti Malaysia Perlis (UniMAP), 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, ...