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Acute leukemia is one of the critical disease that requires immediate treatment due to the rapid progression and accumulation of the cancerous cells. In recent years, image processing techniques had been explored to enhance the diagnosis of acute leukemia. However, microscopic image captured from the light microscope usually has poor quality due to the capability of the camera and improper operation...
This paper compares the model performance for car speed forecasting. The experimented car measures the revolution, injected fuel and current fuel consumption. Nonlinear Autoregressive with an Exogenous Input Model (NARX) and recursive least square (RLS) learning algorithm were selected as a black-box model for forecasting purposes. The input variables were taped from car sensors. The criterions for...
Leukaemia is a life threatening disease that has caused many deaths for the patients below 20 years of age compared to the other types of cancer. The accurate and early detection of leukaemia are the main keys to cure this disease effectively. Therefore, the need for analyzing the blood cells promptly is essential for leukaemia screening. Currently, the procedure for leukaemia screening is performed...
Recent progress based on microscopic imaging has given significant contribution in diagnosis of malaria infection based on blood images. Due to the requirement of prompt and accurate diagnosis of malaria, the current study has proposed an unsupervised colour image segmentation of malaria parasites using moving k-means (MKM) clustering algorithm. It has been applied on malaria images of P. vivax species...
Cooley's anemia, Mediterranean anemia and thalassaemia major, all refer to a severe, inherited form of anemia first described in 1925 by Dr. Thomas Benton Cooley, an American Pediatrician. There are two types of thalassaemia that are alpha-thalassaemia and beta-thalassaemia. Their names describe which part of the hemoglobin molecule that is affected, the alpha or the beta chain. Any deficiency in...
The Myelodysplastic Syndrome (MDS) includes a diverse group of clonal and potentially malignant bone marrow disorders characterized by ineffective and inadequate hematopoiesis [1]. Classically, French-American-British (FAB) scheme have been used as a tools to classify the subtypes of MDS. Nonetheless, due to some limitations, a recent re-classification proposal sponsored by the World Health Organization...
This paper compares the performance of some feature subset selection in injected fuel flow forecasting. Injected fuel flow leads to an accurate measurement of car's fuel consumption. The fuel consumption of a car depends on many factors like road, weather, and driver behaviour that are rigid for a car manufacturer to influence. Speed, stepper speed_step, stepper speed_angle, revolution, stepper rev_step,...
The objective of this study is to develop a portable continuous blood pressure monitoring kit using an electrocardiography (ECG) sensor. The method that was used to measure and monitor blood pressure continuously is based on Heart Rate (HR). The method was separately implemented for different techniques to measure systolic blood pressure (SBP). The techniques that were used to model the relationship...
In this paper, an intelligence controller namely Adaptive Neuro-controller (ANC) based on Hybrid Multilayered Perceptron (HMLP) network is developed for the attitude control of a nano-satellite. The objective of this paper is to compare the tracking performance between ANC based on HMLP network and ANC based on standard MLP network for controlling a satellite attitude. Both ANC's use Model Reference...
This paper presents the results of Internal Model Control (IMC) for InnoSAT attitude control based on Neural Network (NN). IMC is composed of an inverse model connected in series with the plant and a forward model connected in parallel with the plant. The controller is achieved by estimating the plant and then finding its inverse model of the InnoSAT plant using the NN. The control signal error is...
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 reveals important diagnostic information of a patient. In this paper, the combination between linear contrast technique and colour segmentation based on HSI (Hue, Saturation,...
Image enhancement plays an important role in computer vision and image processing. In this paper, image enhancement was used to eliminate the background noise and improve the image quality for the purpose of determining the focal areas such as nucleus, Auer rode and nucleoli in acute leukaemia images. In this paper, the use of three contrast enhancement techniques for colour images using RGB components...
Segmentation of tuberculosis bacilli in Zeihl-Neelsen tissue slide images is a crucial step in computer-assisted tuberculosis bacilli detection. In this paper, an automatic colour image segmentation using moving k-mean clustering was proposed. First, initial filter is used to remove the tissues images which remain blue after counterstaining process. After that, moving k-mean clustering using green...
Ziehl-Neelsen staining method is a common technique used to diagnose tuberculosis infection. Clinical samples such as sputum or tissue are stained using Ziehl-Neelsen procedure and analysed manually by microbiologist for detecting TB bacilli. However, the screening process is labour intensive and time consuming. Image enhancement tools can be used to improve the manual screening process. This paper...
This paper addresses a performance analysis of two well known moments, namely Hu's moments and Zernike's moments for 3D object recognition. Hu's moments and Zernike's moments are the non-orthogonal and orthogonal moments respectively, which are commonly used as shape feature for 2D object or pattern recognition. The current study proved that with some adaptation to multiple views technique, Hu and...
In this paper, a method for adapting conventional controller are used to adapt an adaptive parametric black box controller (APBB). The APBB controller will be adapted such that the plant should follow a desired trajectory which is given by a reference model. The parameters of APBB controller are estimated by using recursive least square method. The estimation goal is for the parameters to converge...
Tuberculosis infection is a serious disease which could be controlled by early diagnosis. A commonly used technique for detecting the TB bacilli is by analyzing sputum smear. Now days, image recognition systems have several applications in enormous fields. This paper uses an artificial neural network to enhance color images of Ziehl-Neelsen stained smear for the purpose of detecting TB bacilli. The...
The recognition of tuberculosis (TB) bacilli base on a color image processing is one of the most challenging tasks in image processing. The problems increase if the captured images are blurred or have low contrast. This paper proposes partial contrast and saturation technique methods to enhance color images of Ziehl-Neelsen stained smear for the detection of TB bacilli. The partial contrast and saturation...
As a subjective and qualitative method, heart sound auscultation has itpsilas inherit limitations. In this paper, we present an analytical perspective on heart sound auscultation and explain how to classify heart diseases using correlation analysis which is done in frequency domain. Abnormal heart sounds taken from a heart sound simulator is being cross correlated with normal heart sound to get different...
Most of the thresholding procedures involved setting of boundaries based on grey values or intensities of image pixels. In this paper, the thresholding is to be done based on color values in images of Ziehl-Neelsen sputum slides. The color thresholding technique is being carried out based on the adaptation and slight modification of the grey level thresholding algorithm. Multilevel thresholding has...
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