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Comparison for partial and dark contrast stretching on abnormal bone marrow slide images for leukemia screening
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)
Image enhancement is often carried out on medical images to improve the quality of the
images for further analysis that needs to be done afterwards. It is the most fundamental digital
image processing approach done on ...
Adaptive neuro-controller based on IMAC scheme for InnoSAT control
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)
In this paper, an Adaptive Neuro-Controller (ANC) based on Internal Model Adaptive
Control (IMAC) scheme is developed to adjust the control parameters for the InnoSAT attitude.
Controller architecture, which is combination ...
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 ...
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 ...