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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 ...
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, ...
Model reference adaptive neuro-controller with on-line parameter estimation
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
In this paper, a Model Reference Adaptive Neuro-
Controller is developed, in which the error between the
outputs of the plant and the reference model is used to
adapt the controller parameters. The Model Reference
Adaptive ...
Improving blast segmentation of acute myelogenous leukaemia (AML) images using bright stretching technique
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
Contrast enhancement and image segmentation techniques have fast becoming popular for computer vision and image processing area in the last few decades. In this paper, the combination between contrast enhancement and ...
Image enhancement technique using partial contrast stretching on abnormal Bone Marrow images for Leukemia screening
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
Image Enhancement is a very useful pre-processing
method that is implemented on biomedical images to
eliminate poor contrast, thus improve interpretability
for human’s vision. In Leukemia, the Bone Marrow
generally ...
Detection of tubercle bacilli in Ziehl-Neelsen stained tissue slide images using Hu’s moment invariants and artificial neural network
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
Early detection of tuberculosis infection is the key to
successful treatment and control of the disease.
Manual screening by light microscopy is the most
widely used for tubercle bacilli detection but it is time ...
Segmentation of heart sound signal into cycles based on time properties of the heart sound
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
A simple alternative method to segment the heart sound signal into cycles is proposed in this paper. The segmentation is done based on the time properties of the heart sound signal only, without the assistant of other ...