Browsing Mohd Yusoff Mashor, Prof. Dr. by Title
Now showing items 1-20 of 85
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3D object recognition system using multiple views and cascaded multilayered perceptron network
(IEEE Conference Publications, 2004-12)This paper proposes an effective method for recognition and classification of 3D objects using multiple views technique and neural networks system. In the processing stage, we propose to use 2D moment invariants as the ... -
3D object recognition using 2D moments and HMLP network
(IEEE Conference Publications, 2004-07)This paper proposes a method for recognition and classification of 3D objects using 2D moments and HMLP network. The 2D moments are calculated based on 2D intensity images taken from multiple cameras that have been arranged ... -
3D object recognition using MANFIS network with orthogonal and non-orthogonal moments
(Institute of Electrical and Electronics Engineering (IEEE), 2009-03-06)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 ... -
3D object recognition: Views, moment invariants & perceptron networks
(Universiti Malaysia Perlis (UniMAP)Pejabat Timbalan Naib Canselor (Penyelidikan dan Inovasi), 2007-08)Computer vision recognition typically involves sensors, a model database containing information about the object representations and decision making or categorization. Sensors gather images that are processed to ... -
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)Centre for Graduate Studies, 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 ... -
Adaptive Neuro-Controller for three axes attitude control of innovative satellite
(Science Academy, 2011-03)There exists so many disturbance torques in space which may deviate the satellite from the desired attitude. To overcome the effects of the disturbance torques some stabilization has to be provided to the satellite. This ... -
Adaptive Neuro-Controller for three-axes attitude control of innovative satellite
(Science Academy Publisher, 2011-03)There exists so many disturbance torques in space which may deviate the satellite from the desired attitude. To overcome the effects of the disturbance torques some stabilization has to be provided to the satellite. This ... -
Application of fuzzy c-mean clustering technique for mycobacterium tuberculosis detection in Ziehl-Neelsen stained tissue images
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 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 ... -
Application On Wireless Power Transmission for Biomedical Implantable Organ
(School of Mechatronic Engineering, 2008-01-09)The tranceiver will electromagnetically transfer power to the sensor component via inductive coupling. The signal then used to supply the sensor a power. It can be implemented for passive telemetry sensor. -
An automated cervical pre-cancerous diagnostic system
(Elsevier B.V., 2008-01)Objective: This paper proposes to develop an automated diagnostic system for cervical pre-cancerous. Methods and data samples: The proposed automated diagnostic system consists of two parts; an automatic feature extraction ... -
An Automated Intelligent Identification and Counting System Procedure for Tuberculosis
(IOP Publishing, 2019)Tuberculosis (TB) is an infectious disease caused by Mycobacterium Tuberculosis or TB Bacilli. Currently, the classification of TB bacilli is carried out by microbiologist by using Ziehl-Nielsen (ZN) stained smear sputum ... -
An Automated Segmentation and Counting of Ki67 Cells in Meningioma Using K-Means Clustering Technique
(IOP Publishing, 2019)Meningioma is a type of primary brain tumours. The meningiomas account for about one-third of all primary brain tumours. Image segmentation plays an important role in image analysis, especially detecting the tumours or ... -
Automatic glass-slide capturing system for cervical cancer pre-screening program
(Science Publications, 2008)Clinical glass-slide capturing system is becoming an important part of telemedicine, medical database and diagnostic system that involves of microscope and image acquisition device which is digital camera. One of the areas ... -
A BI-RADS based expert systems for the diagnoses of breast diseases
(Science Publications, 2007)We proposed an expert system based on the interpretation of mammographic and ultrasound images that may be used by expert and non-expert doctors in the interpretation and classifying of patient cases. The expert system ... -
Bio e-Nose for Virgin Coconut Oil (VCO) Standardization
(Malaysian Invention and Design Society (MINDS), 2006)To establish Bio e-Nose as a tool to standardize and quality control of VCO. -
Blood cell image segmentation: a review
(Springer-Verlag, 2008-06)Image processing technique involved five basic components which are image acquisition, image preprocessing, image segmentation, image post-processing and image analysis. The most critical step in image processing is the ... -
Bone marrow image segmentation based on multilevel thresholding
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)This paper represents an approach of image segmentation on microscopic bone marrow images by using multilevel tresholding technique. This technique has been applied into two types of images which is normal bone marrow ... -
Calculation of blast area for acute leukemia blood cells images
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 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 ... -
Classification of Acute Leukemia Based on Multilayer Perceptron
(IOP Publishing, 2019)In general, various artificial neural network have been applied in many areas such as modelling, pattern recognition, signal processing, diagnostic and prognostic. In this paper, artificial neural network are used to detect ...