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All Journal Journal of Telematics and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Dzulkifli Mohamad
Universiti Teknologi Malaysia
Computer Science & IT Electrical & Electronics Engineering

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Automated Erythrocytes Counting in Microscopic Thin Blood Smear Digital Images Naveed Abbas; Dzulkifli Mohamad; Abdual Hanan Abdullah
Journal of Telematics and Informatics Vol 3, No 2: September 2015
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (389.851 KB) | DOI: 10.12928/jti.v3i2.

Abstract

The Erythrocytes counting is part of the complete blood count test and it is frequently suggested by the Physician to know the number of Erythrocytes in the patient’s body. At present mostly the counting process is performed manually which is laborious, error prone and time consuming. The main purpose of this study is to use the digital image processing techniques to automate the counting process of the Erythrocytes or Red Blood Cells in Microscopic thin Blood smear digital images. The automated diagnosing gain the attention of the researchers from the last two decades because it assist the experts to reduce the burden of errors, labour and time of examination. In this regard, too much research has been performed on the automation of the counting process of the Erythrocytes but still the test demands to be done in a proper, efficient, accurate and realistic way. The proposed method achieved an average True Positive Rate (TPR) of 95%, True Negative Rate (TNR) of 5%, average accuracy of 97% and average error of 3%.
Hybrid Collision Culling by Bounding Volumes Manipulation in Massive Rigid Body Simulation Norhaida Mohd Suaib; Abdullah Bade; Dzulkifli Mohamad
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 6: June 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Collision detection is an important aspect in many real-time simulation environments.  Due to its nature of high Computation involved, collision detection can contribute to the bottleneck on the system involving large number of interacting objects.  This paper focuses on finding options to efficiently cull away object pairs that are not likely to collide in large-scale dynamic rigid-body simulations involving n-body objects.  The main idea is to perform time critical computing concept by manipulation of potential bounding volume techniques.  In order to take advantage of a fast collision test and a more accurate result, a hybrid collision culling approach based on sphere - or-Dops was used.  Based on initial results, this approach shows a potential adaptation to a massive rigid body simulation. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2656
Co-Authors Abdual Hanan Abdullah Abdullah Bade Naveed Abbas Norhaida Mohd Suaib