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Fatin Izzwani Azman
Universiti Malaysia Pahang, Faculty of Electrical and Electronics Engineering, Pahang Darul Makmur
Computer Science & IT Electrical & Electronics Engineering

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Detection Technique of Squamous Epithelial Cells in Sputum Slide Images using Image Processing Analysis Fatin Izzwani Azman; Kamarul Hawari Ghazali; Rosyati Hamid; Noor Amira Syuhada Mahamad Salleh
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1202.393 KB) | DOI: 10.11591/eecsi.v1.395

Abstract

A good quality sputum is important to detect diseases. The presence of squamous epithelial cells (SEC) in sputum slide images is important to determine the quality of sputum. The presence of overlapping SEC in sputum slide images causes the process become complicated and tedious. Therefore this paper discusses on technique of detection and summation for Squamous Epithelial Cell (SEC) in sputum slide image. We addressed the detection problem by combining K-means and color thresholding algorithm. The design of aided system is evaluated using 200 images and the proposed technique is capable to detect and count each SEC from overlapping SEC image. Total of 200 images were clustered to 10 groups, labelled as Group Cell 1 to group Cell 10 that correspond to the number of cells in the image. Therefore, each group will contain 20 images. The accuracy of the algorithm to detect SEC was also measured, and results show that in 91% which provides a correct SEC detection and summation.
Color Thresholding Techniques Performance for Night Vision Surveillance Using Thermal Imaging Noor Amira Syuhada Mahamad Salleh; Kamarul Hawari Ghazali; Fatin Izzwani Azman
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (891.09 KB) | DOI: 10.11591/eecsi.v1.399

Abstract

Visible surveillance is commonly an active research worldwide. The need of surveillance allows thermal imaging to participate in this study activity. The drawback of visible surveillance for night monitoring is overcome by the technology of the thermal imaging. To achieve the goal of the surveillance system , the works on detection must be very efficient to do the detection Throughout this research , we developed an algorithm involving thresholding technique for subject detection using thermal image to find the for night surveillance system.
Co-Authors Kamarul Hawari Ghazali Noor Amira Syuhada Mahamad Salleh Rosyati Hamid